Showing posts with label List of Books. Show all posts
Showing posts with label List of Books. Show all posts

Tuesday, April 11, 2023

Python Books (Apr 2023)

Download Books
1.
Fluent Python
Luciano Ramalho, 2015

2.
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Al Al Sweigart, 2015

3.
Head First Python
2010

4.
Python Cookbook: Recipes for Mastering Python 3
Brian K. Jones, 2011

5.
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
Zed Shaw, 2013

6.
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2019

7.
Learning Python
Mark Lutz, 2002

8.
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2015

9.
Think Python: An Introduction to Software Design
Allen B. Downey, 2002

10.
Python Tricks: A Buffet of Awesome Python Features
Dan Bader, 2017

11.
Learning Python
Mark Lutz, 1999

12.
Python for Data Analysis
Wes McKinney, 2011

13.
Programming Python
Mark Lutz, 1996

14.
Python for Everybody: Exploring Data Using Python 3
Charles Severance, 2016

15.
Learning Python: Powerful Object-Oriented Programming
Mark Lutz, 2000

16.
Introduction to Machine Learning with Python: A Guide for Data Scientists
Sarah Guido, 2016

17.
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Eric Matthes, 2023

18.
Python Programming: An Introduction to Computer Science
John M. Zelle, 2003

19.
Machine Learning in Python: Essential Techniques for Predictive Analysis
2015

20.
Learn Python in One Day and Learn it Well: Python for Beginners with Hands-on Project
Jamie Chan, 2015

21.
Elements of Programming Interviews in Python: The Insiders' Guide
Tsung-Hsien Lee, 2018


22.
Python Data Science Handbook
Jacob T. Vanderplas, 2016

23.
Deep Learning with Python
François Chollet, 2017


24.
Effective Python: 90 Specific Ways to Write Better Python
Brett Slatkin, 2019

25.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Geron Aurelien, 2017

26.
Python Pocket Reference, 4/E (Covers Python 3 X & 2.6)
Mark Lutz, 2014

27.
Invent Your Own Computer Games with Python, 4th Edition
Al Al Sweigart, 2016

28.
Effective Python: 59 Specific Ways to Write Better Python
Brett Slatkin, 2015

29.
Python for Kids: A Playful Introduction To Programming
Jason R. Briggs, 2012

30.
Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
Aditya Bhargava, 2015

31.
Python Programming for the Absolute Beginner
Dawson, 2003

32.
Python 3 Object Oriented Programming
Dusty Phillips, 2010


33.
The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Florian Dedov, 2020

34.
Impractical Python: Projects Playful Programming Activities to Make You Smarter
Lee Vaughan, 2018

35.
Python in a nutshell
Alex Martelli, 2003

36.
Python Cookbook
Alex Martelli, 2002

37.
Coding for Kids: Python: Learn to Code with 50 Awesome Games and Activities
Adrienne B. Tacke, 2019

38.
Natural Language Processing with Python
Steven Bird, 2009

39.
Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code
Al Al Sweigart, 2020


40.
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Andrew Bruce, 2017

41.
Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters
Justin Seitz, 2021


42.
Django for Beginners: Build websites with Python and Django
William Vincent, 2018

43.
The Big Book of Small Python Projects: 81 Easy Practice Programs
Al Al Sweigart, 2021

44.
Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More
Julien Danjou, 2018

45.
Data Structure and Algorithmic Thinking with Python
Narasimha Karumanchi, 2015

46.
Python All-in-One For Dummies
Alan Simpson, 2019


47.
Let Us Python
Yashavant Kanetkar, 2019

48.
Python Programming For Beginners: Learn The Basics Of Python Programming (Python Crash Course, Programming for Dummies)
James Tudor, 2019

49.
Python Distilled
David M. Beazley, 2021

50.
Python for Beginners: A Crash Course Guide to Learn Python in 1 Week
Timothy C. Needham, 2017

51.
Cracking Codes with Python: An Introduction to Building and Breaking Ciphers
Al Al Sweigart, 2018

52.
Python for Everybody : Exploring Data in Python 3
Charles Russell Severance, Sue Blumenberg
CreateSpace Independent (2016)
Tags: Technology,List of Books,Python,

Sunday, March 19, 2023

Books on SEO (Mar 2023)

Download Books
1.
The Art of SEO: Mastering Search Engine Optimization
Eric Enge, 2015

2.
Search Engine Optimization For Dummies
Peter Kent, 2004

3.
SEO 2022: Learn Search Engine Optimization with Smart Internet Marketing Strategies
Adam Clarke

4.
SEO Like I'm 5: The Ultimate Beginner's Guide to Search Engine Optimization
Matthew Capala, 2014

5.
SEO for Growth: The Ultimate Guide for Marketers, Web Designers & Entrepreneurs
John Jantsch, 2016

6.
SEO 2021 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

7.
Product-Led SEO: The Why Behind Building Your Organic Growth Strategy
Eli Schwartz, 2021

8.
How to Get to the Top of Google: The Plain English Guide to SEO
Tim Kitchen, 2013

9.
Search Engine Optimization All-in-One for Dummies
Bruce Clay, 2009

10.
3 Months to No. 1: The "no-nonsense" SEO Playbook for Getting Your Website Found on Google
Will Coombe, 2017

11.
SEO Workbook: Search Engine Optimization Success in Seven Steps
Jason McDonald, 2020

12.
Ultimate Guide to Link Building: How to Build Website Authority, Increase Traffic and Search Ranking with Backlinks
Garrett French, 2013

13.
SEO 2017: Learn Search Engine Optimization with Smart Internet Marketing Strategies
Adam Clarke

14.
The SEO Blueprint: How to Get More Organic Traffic Right NOW
David Krevitt, 2020

15.
Local SEO Secrets: 20 Local SEO Strategies You Should be Using NOW
Roger Bryan, 2021

16.
The Art of SEO
Eric Enge, 2009

17.
Optimize: How to Attract and Engage More Customers by Integrating SEO, Social Media, and Content Marketing
Lee Odden, 2012

18.
Entity SEO: Moving from Strings to Things
Dixon Jones, 2021

19.
Keywords for SEO: Actionable Knowledge Bombs to Help you Rank on Google
Itamar Blauer, 2021

20.
Everybody Writes: Your Go-To Guide to Creating Ridiculously Good Content
Ann Handley, 2014

21.
SEO 2019 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

22.
SEO - The Sassy Way of Ranking #1 in Google - when You Have NO CLUE! Beginner's Guide to Search Engine Optimization and Internet Marketing
Gundi Gabrielle, 2017

23.
SEO for Small Business Part 1: SEO and Keyword Research
Joseph Stevenson, 2020

24.
Search Engine Optimization: An Hour a Day
Gradiva Couzin, 2006

25.
Link Building Mastery: How to Rank Higher, Grow Your SEO Traffic and Build Authority with Backlinks
Julian Goldie, 2021

26.
Get into Bed with Google
Jon Smith, 2008

27.
Search Engine Optimization (SEO) Secrets
Danny Dover, 2011

28.
Ecommerce SEO: An Advanced Guide to On-Page Search Engine Optimization for Ecommerce
Traian Neacsu, 2015

29.
Social Media Marketing Workbook: How to Use Social Media for Business
Jason McDonald, 2015

30.
The Beginner's Guide to SEO: How to Optimize Your Website, Rank Higher on Google and Drive More Traffic
Jessica Ainsworth, 2021

31.
The Best Damn Website & ECommerce Marketing Optimization Guide, Period!
Stoney deGeyter, 2021

32.
SEO Fitness Workbook: The Seven Steps to Search Engine Optimization Success on Google (Teacher's Edition)
Jason McDonald, 2015

33.
Social Media Marketing for Beginners 2023 The #1 Guide To Conquer The Social Media World, Make Money Online and Learn The Latest Tips On Facebook, You
Jonathan Page, 2020

34.
Digital Marketing For Dummies
Ryan Deiss, 2016

35.
Search Engine Optimization Bible
Jerri L. Ledford, 2008

36.
SEO Mastery: Learn Advanced Search Engine Optimization Marketing Secrets, For Optimal Growth! Best Beginners Guide About SEO For Keeping your Business Ahead in The Modern Age!
Graham Fisher, 2019

37.
Landing Page Optimization
Tim Ash, 2008

38.
Faster, Smarter, Louder: Master Attention in a Noisy Digital Market
Aaron Agius, 2019

39.
SEO Made Easy: Everything You Need to Know about SEO and Nothing More
Evan Bailyn, 2013

40.
Seo 2021: Actionable, Hands-on SEO, Including a Full Site Audit
Dr Andy Williams, 2021

41.
Seo Step-By-Step: The Complete Beginner's Guide to Getting Traffic from Google
Caimin Jones, 2014

42.
Seo Secrets 2019: The Ultimate Guide on How to Mastering Search Engine Optimization Fast!
Phillip Rusell, 2018

43.
Inbound Marketing and SEO: Insights from the Moz Blog
Rand Fishkin, 2013

44.
The Truth About Search Engine Optimization
Rebecca Lieb, 2009

45.
SEO 2020 Learn Search Engine Optimization With Smart Internet Marketing Strategies: Learn SEO with Smart Internet Marketing Strategies
Adam Clarke

46.
ProBlogger: Secrets for Blogging Your Way to a Six-Figure Income
Darren Rowse, 2008

47.
The SEO Way: Beginners Guide to Search Engine Optimization
Tarek Riman, 2019

48.
Digital Marketing All-in-One For Dummies
Stephanie Diamond, 2019

49.
Google Ads (AdWords) Workbook: Advertising on Google Ads, YouTube, and the Display Network (Teacher's Edition)
Jason McDonald, 2019

50.
Etsy Business - Beginners Guide To Starting Your Own Etsy Business & Learn Etsy Marketing & SEO: Simple Steps To Maximize Profit Selling On Etsy
Eric Scott, 2020

Saturday, March 11, 2023

Books on Building Financial IQ (Mar 2023)

Download Books
1. 
The Intelligent Investor, The Definitive Book on Value Investing (2006)
Benjamin Graham and Jason Zweig

2.
The Little Book of Common Sense Investing
Bogle, John C 
Wiley (2017)

3.
The Essays of Warren Buffett. Lessons for Corporate America.
Lawrence A. Cunningham 
3rd Edition (2013)

4.
Rich Dad Poor Dad
What the Rich Teach Their Kids About Money That the Poor and Middle Class Do Not
Robert T. Kiyosaki
2017

7 Must-Read Books for a Millionaire Retirement

1. "The Psychology of Money" by Morgan Housel This isn't your traditional finance book. Housel focuses on the emotional and psychological aspects of money, shedding light on how our perceptions shape our financial decisions. By understanding and mastering our emotional triggers, we can make better-informed decisions that lead to wealth. 2. "Learn To Earn" by Peter Lynch and John Rothchild A comprehensive beginner's guide to investing. Lynch, one of the investment world's luminaries, and Rothchild simplify the maze of the stock market. Their approach underlines the importance of thorough research, understanding businesses at a granular level, and maintaining a long-term perspective in investments. 3. "Rich Dad Poor Dad" by Robert T. Kiyosaki Kiyosaki's seminal work is a game-changer in personal finance literature. Through contrasting tales of his "two dads", he highlights the mindset that distinguishes the wealthy from the rest. Central to his philosophy is the emphasis on financial literacy, the power of assets, and the potential of entrepreneurial ventures. 4. "The Most Important Thing" by Howard Marks Marks, an investment titan, shares wisdom from his illustrious career. He delves into understanding market rhythms, the nuances of risk, and the investor's psyche. Advocating a contrarian viewpoint, he stresses the virtues of patience and discernment in successful investing. 5. "Total Money Makeover" by Dave Ramsey A financial reboot manual. Ramsey meticulously outlines a plan designed to clear debt, build a safety net, and initiate investments. His methodology, rooted in personal responsibility and stringent discipline, offers a clear roadmap to financial rejuvenation. 6. "The Millionaire Fastlane" by MJ DeMarco Challenging mainstream notions of wealth-building, DeMarco proposes a radical approach. He underscores that the quickest path to affluence isn't a traditional job but through entrepreneurial ventures that can scale. The book is a clarion call to value time and harness business systems for wealth and autonomy. 7. "The Rules of Wealth" by Richard Templar A holistic guide to amassing wealth. Templar delineates a set of rules, covering a spectrum from foundational money beliefs to intricate investment strategies. He accentuates the pillars of consistency, unwavering discipline, and the quest for knowledge in one's wealth-building journey.
Tags: List of Books,Investment,

Thursday, March 9, 2023

JavaScript Books (Mar 2023)

Download Books
1.
JavaScript: The Good Parts
Douglas Crockford, 2008

2.
A Smarter Way to Learn JavaScript
Mark Myers, 2014

3.
JavaScript and JQuery: Interactive Front-End Web Development
Jon Duckett, 2013

4.
Effective JavaScript: 68 Specific Ways to Harness the Power of JavaScript
David Herman, 2012

5.
You Don't Know JS: Scope & Closures
Kyle Simpson, 2014

6.
Eloquent JavaScript, 3rd Edition: A Modern Introduction to Programming
Marijn Haverbeke, 2018

7.
Head First JavaScript Programming: A Brain-Friendly Guide
Elisabeth Robson, 2014

8.
Eloquent JavaScript: A Modern Introduction to Programming
Marijn Haverbeke, 2011

9.
Secrets of the JavaScript Ninja
John Resig, 2008

10.
Learn JavaScript Visually: With Interactive Exercises
Ivelin Demirov, 2014

11.
The Principles of Object-Oriented JavaScript
Nicholas C. Zakas, 2014

12.
JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language
David Flanagan, 2002

13.
Javascript: The Definitive Guide, 5th edition
David Flanagan, 2006

14.
Beginning JavaScript
Paul Wilton, 2000

15.
Professional JavaScript for Web Developers
Nicholas C. Zakas, 2005

16.
Programming JavaScript Applications: Robust Web Architecture with Node, HTML5, and Modern JS Libraries
Eric Elliott, 2014

17.
Speaking JavaScript: An In-Depth Guide for Programmers
Axel Rauschmayer, 2014

18.
JavaScript Patterns
Stoyan Stefanov, 2010

19.
You Don't Know JS Yet: Get Started
Kyle Simpson, 2020

20.
JavaScript for Kids: A Playful Introduction to Programming
Nick Morgan, 2014

21.
Learning JavaScript Design Patterns
Addy Osmani, 2012

22.
JavaScript: The Definitive Guide
David Flanagan, 1996

23.
You Don't Know JS: ES6 & Beyond
Kyle Simpson, 2015

24.
JavaScript Enlightenment
Cody Lindley, 2012

25.
Eloquent Javascript: A Modern Introduction to Programming
Marijn Haverbeke, 2011

26.
JavaScript from Beginner to Professional: Learn JavaScript Quickly by Building Fun, Interactive, and Dynamic Web Apps, Games, and Pages
Rob Percival, 2021

27.
Node.js in Action
Marc Harter, 2011

28.
Coding with JavaScript For Dummies
Eva Holland, 2015

29.
JavaScript Cookbook
Shelley Powers, 2010

30.
Professional JavaScript for Web Developers
Matt Frisbie, 2019

31.
Learn JavaScript Quickly: A Complete Beginner's Guide to Learning JavaScript, Even If You're New to Programming
Code Quickly, 2020

32.
Understanding ECMAScript 6: The Definitive Guide for JavaScript Developers
Nicholas C. Zakas, 2016

33.
JavaScript: The Missing Manual
David Sawyer McFarland, 2008

34.
Maintainable JavaScript
Nicholas C. Zakas, 2012

35.
High Performance JavaScript
Nicholas C. Zakas, 2010

36.
Pro JavaScript Design Patterns
Ross Harmes, 2007

37.
JavaScript For Kids For Dummies
Eva Holland, 2015

38.
JavaScript for Impatient Programmers
Axel Rauschmayer, 2019

39.
Up & Going
Kyle Simpson, 2015

40.
Node.js Design Patterns - Third Edition: Design and Implement Production-grade Node.js Applications Using Proven Patterns and Techniques
Mario Casciaro, 2020

41.
You Don't Know JS: Types & Grammar
Kyle Simpson, 2015

42.
jQuery in Action
Bear Bibeault, 2008

43.
Javascript: This Book Includes : Javascript Basics For Beginners + Javascript Front End Programming + Javascript Back End Programming
Andy Vickler, 2021

44.
Structure and Interpretation of Computer Programs
Gerald Jay Sussman, 1985

45.
Learning Web Design
Jennifer Niederst Robbins, 2012

46.
Object-Oriented JavaScript
Kumar Chetan Sharma, 2013

47.
Beginning JavaScript and CSS Development with JQuery
Richard York, 2009

48.
Test-Driven JavaScript Development
Christian Johansen, 2011

49.
Effective TypeScript: 62 Specific Ways to Improve Your TypeScript
Dan Vanderkam, 2019

50.
The Road to Learn React: Your Journey to Master Plain Yet Pragmatic React. Js
Robin Wieruch, 2017

51.
React Key Concepts: Consolidate Your Knowledge of React's Core Features
Maximilian Schwarzmuller, 2022

52.
Data Structures and Algorithms with JavaScript
Michael McMillan
O'Reilly Media (2014)

53.
Knockout.js (Building Dynamic Client-Side Web Applications)
Jamie Munro
O'Reilly Media (2014)

54.
JavaScript for Dummies
Emily A. Vander Veer
Wiley Pub (2005)
Tags: Technology,List of Books,JavaScript,

Monday, February 27, 2023

Natural Language Processing Books (April 2020)

Download Books
1. Natural Language Processing with Python
Book by Edward Loper, Ewan Klein, and Steven Bird, 2009, OReilly

2. Speech and Language Processing
Book by Daniel Jurafsky and James H. Martin, 2000

3. Foundations of Statistical Natural Language Processing
Book by Christopher D. Manning and Hinrich Schütze, 1999

4. Neural Network Methods in Natural Language Processing
Book by Yoav Goldberg, 2017

5. Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library
Book by Thushan Ganegedara, 2018

6. Natural Language Processing in Action: Understanding, Analyzing, ...
Book by Cole Howard, Hannes Hapke, and Hobson Lane, 2019

7. The Oxford Handbook of Computational Linguistics
Ruslan Mitkov, 2003

8. Introduction to Natural Language Processing
Textbook by Jacob Eisenstein, 2019

9. Natural Language Processing Fundamentals: Build Intelligent Applications that Can Interpret the Human Language to Deliver Impactful Results
Book by Dwight Gunning and Sohom Ghosh, 2019

10. Deep Learning in Natural Language Processing
Book, 2018

11. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
Book by Brian McMahan and Delip Rao, 2019

12. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Book by Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda, 2018

13. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Book by Aurelien Geron, 2017

14. Text Mining with R: A Tidy Approach
Book by David Robinson and Julia Silge, 2017

15. Handbook of Natural Language Processing
Book, 2010

16. Taming Text: How to Find, Organize, and Manipulate It
Book by Andrew L. Farris, Grant S. Ingersoll, and Thomas S. Morton, 2013

17. Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax
Book by Emily M. Bender, 2013

18. Python Natural Language Processing
Book by Jalaj Thanaki, 2017

19. Deep Learning for Natural Language Processing
Book by Stephan Raaijmakers, 2020

20. Deep Learning for Natural Language Processing: Solve Your Natural Language Processing Problems with Smart Deep Neural Networks
Book by Karthiek Reddy Bokka, Shubhangi Hora, and Tanuj Jain, 2019

21. Natural Language Processing and Computational Linguistics: A Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras
Book by Bhargav Srinivasa-Desikan, 2018

22. Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python
Book by Adarsha Shivananda and Akshay Kulkarni, 2019

23. Hands-On Natural Language Processing with Python: A Practical Guide to Applying Deep Learning Architectures to Your NLP Applications
Book by Rajalingappaa Shanmugamani and Rajesh Arumugam, 2018

24. Deep Learning for NLP and Speech Recognition
Textbook by James Whitaker, John Liu, and Uday Kamath, 2019

25. Deep Reinforcement Learning Hands-On: Apply Modern RL Methods, with Deep Q-networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More
Book by Maxim Lapan, 2018

26. Natural Language Processing with Java: Techniques for Building Machine Learning and Neural Network Models for NLP, 2nd Edition
Book by AshishSingh Bhatia and Richard M. Reese, 2018

27. The Handbook of Computational Linguistics and Natural Language Processing
Book, 2010

28. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Book by Karan Jain, Palash Goyal, and Sumit Pandey, 2018

29. Statistical Machine Translation
Textbook by Philipp Koehn, 2009

30. Natural Language Processing with Python: Natural Language ...
Book by Frank Millstein, 2018

31. Natural Language Processing with Java
Book by Richard M. Reese, 2015

32. Python 3 Text Processing with NLTK 3 Cookbook
Book by Jacob Perkins, 2010

33. Big Data Analytics Methods: Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing
Book by Peter Ghavami, 2019

34. Deep Learning with Python
Book by François Chollet, 2017

35. Natural Language Processing with Python and SpaCy: A Practical ...
Book by Yuli Vasiliev, 2020

36. Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Book by Taweh Beysolow II, 2018

37. FastText Quick Start Guide: Get Started with Facebook's Library for Text Representation and Classification
Book by Joydeep Bhattacharjee, 2018

38. Introduction to Machine Learning with Python: A Guide for Data Scientists
Book by Andreas C. Müller and Sarah Guido, 2016

39. Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow 2, 3rd Edition
Book by Sebastian Raschka and Vahid Mirjalili, 2019

40. Natural Language Processing with Python Cookbook: Over 60 Recipes to Implement Text Analytics Solutions Using Deep Learning Principles
Book by Krishna Bhavsar and Pratap Dangeti, 2017

41. Prolog and Natural-Language Analysis
Book by Fernando C. N. Pereira and Stuart M. Shieber, 1987

42. Natural Language Processing in Artificial Intelligence
Book, 2020

43. Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition
Book by Amita Kapoor, Antonio Gulli, and Sujit Pal, 2019

44. Natural Language Processing for Prolog Programmers
Book by Michael A. Covington, 1994

45. Python Text Processing with NLTK 2.0 Cookbook: Over 80 Practical Recipes for Using Python's NLTK Suite of Libraries to Maximize Your Natural Language Processing Capabilities
Book by Jacob Perkins, 2010

46. Statistical methods for speech recognition
Book by Frederick Jelinek, 1997

47. Introduction to information retrieval
Book by Christopher D. Manning, Hinrich Schütze, and Prabhakar Raghavan, 1999

48. Natural Language Processing: Python and NLTK
Book by Deepti Chopra, Jacob Perkins, and Nitin Hardeniya, 2016

49. You Look Like a Thing and I Love You
Novel by Janelle Shane, 2019
Genre: Humour

50. Building Machine Learning Powered Applications: Going from Idea to Product
Book by Emmanuel Ameisen, 2020

51. TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
Book by Daniel Situnayake and Pete Warden, 2019

52. Getting Started with Google BERT. Build and train state-of-the-art NLP models
Sudharsan Ravichandiran
Packt (2021)
Tags: List of Books,Natural Language Processing,

Wednesday, February 15, 2023

Books on 'Game Development Using JS' (Feb 2023)

Download Books

1: HTML Canvas Graphics

1.1. Eric Rowell - HTML5 Canvas Cookbook - Packt (2011) 1.2. James L. Williams - Learning HTML5 Game Programming - Addison-Wesley Professional (2011) 1.3. David Flanagan - Canvas Pocket Reference - OReilly Media (2010) 1.4. Steve Fulton, Jeff Fulton - HTML5 Canvas - O'Reilly Media (2011)

2: Game Development

2.1. Juriy Bura, Paul Coates - Pro Android Web Game Apps. Using HTML5, CSS3 and JavaScript-Apress (2012) 2.2. Karl Bunyan - Build an HTML5 Game. A Developer's Guide with CSS and JavaScript-No Starch Press (2015) 2.3. Rex van der Spuy - Foundation game design with HTML5 and JavaScript-Apress (2012)
Tags: JavaScript,Web Development,List of Books,

Math books (Feb 2023)

1.
Calculus Made Easy is a book on infinitesimal calculus originally published in 1910 by Silvanus P. Thompson, considered a classic and elegant introduction to the subject. Wikipedia
Originally published: 1910
Author: Silvanus P. Thompson

2.
What is Mathematics? is a mathematics book written by Richard Courant and Herbert Robbins, published in England by Oxford University Press. It is an introduction to mathematics, intended both for the mathematics student and for the general public. Wikipedia
Originally published: 1941
Authors: Herbert Robbins, Richard Courant
Original language: English

3.
Gödel, Escher, Bach: an Eternal Golden Braid, also known as GEB, is a 1979 book by Douglas Hofstadter. By exploring common themes in the lives and works of logician Kurt Gödel, artist M. C. Escher, and composer Johann Sebastian Bach, the book expounds concepts fundamental to mathematics, symmetry, and intelligence. Wikipedia
Originally published: 1979
Author: Douglas Hofstadter
Original language: English
Pages: 777
Awards: Pulitzer Prize for General Nonfiction, National Book Award for Science (Hardcover)
Nominations: Pulitzer Prize for General Nonfiction, National Book Award for Science (Hardcover)

4.
The Princeton Companion to Mathematics is a book providing an extensive overview of mathematics that was published in 2008 by Princeton University Press. Edited by Timothy Gowers with associate editors June Barrow-Green and Imre Leader, it has been noted for the high caliber of its contributors. Wikipedia
Originally published: 8 September 2008
Author: Akito Futaki
Editors: Timothy Gowers, Imre Leader, June Barrow-Green
Genres: Encyclopedia, Reference work

5.
The Joy of X: A Guided Tour of Math, from One to Infinity
Book by Steven Strogatz
Award-winning Steven Strogatz, one of the foremost popularisers of maths, has written a witty and fascinating account of maths' most compelling ideas and how, so often, they are an integral part of everyday life.Maths is everywhere, often where we don't even realise. ... Google Books
Originally published: 2012
Author: Steven Strogatz
Genre: Humor

6.
Calculus
Book by Michael Spivak
Originally published: 1967
Author: Michael Spivak
Genre: Textbook

7.
Vedic Mathematics is a book written by the Indian monk Bharati Krishna Tirtha, and first published in 1965. It contains a list of mathematical techniques, which were falsely claimed to have been retrieved from the Vedas and containing mathematical knowledge. Wikipedia
Originally published: 1965
Author: Bharati Krishna Tirtha
Editor: Vasudev Sharan Agarwal
Original language: Hindi
Subject: Mental calculation

8.
An Introduction to the Theory of Numbers is a classic textbook in the field of number theory, by G. H. Hardy and E. M. Wright. The book grew out of a series of lectures by Hardy and Wright and was first published in 1938. Wikipedia
Originally published: 1938
Author: G. H. Hardy

9.
Zero: The Biography of a Dangerous Idea is a non-fiction book by American author and journalist Charles Seife. The book was initially released on February 7, 2000, by Viking. Wikipedia
Originally published: 7 February 2000
Author: Charles Seife
Genre: Biography
Pages: 256 pp

10.
An Imaginary Tale
Book by Paul J. Nahin
Today complex numbers have such widespread practical use--from electrical engineering to aeronautics--that few people would expect the story behind their derivation to be filled with adventure and enigma. ... Google Books
Originally published: 1998
Author: Paul J. Nahin

11.
Flatland: A Romance of Many Dimensions is a satirical novella by the English schoolmaster Edwin Abbott Abbott, first published in 1884 by Seeley & Co. of London. Wikipedia
Originally published: 1884
Author: Edwin Abbott Abbott
Illustrator: Edwin Abbott Abbott
Original language: English
Genres: Science fiction, Novella, Mathematical fiction, Scientific romance
Adaptations: Flatland: The Movie (2007), Flatland (2007)

12.
A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra)
Book by Barbara Oakley
The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn"Whether you are a student struggling to fulfill a math or science requirement, or you are embarking ... Google Books
Originally published: 31 July 2014
Author: Barbara Oakley
Genre: Self-help book

13.
Proofs from THE BOOK is a book of mathematical proofs by Martin Aigner and Günter M. Ziegler. The book is dedicated to the mathematician Paul Erdős, who often referred to "The Book" in which God keeps the most elegant proof of each mathematical theorem. Wikipedia
Originally published: 1998
Author: Martin Aigner
Illustrator: Karl H. Hofmann

14.
Plane Trigonometry
Book by S. L. Loney
Exton Bequest January 1924. Florence Exton was college principle from 1920-23, the only one to die in office. Google Books
Originally published: 1893
Author: S. L. Loney

15.
How to Lie with Statistics is a book written by Darrell Huff in 1954 presenting an introduction to statistics for the general reader. Not a statistician, Huff was a journalist who wrote many "how to" articles as a freelancer. Wikipedia
Originally published: 1954
Author: Darrell Huff
Illustrator: Irving Geis
Pages: 142
Text: How to Lie with Statistics at Internet Archive
Subject: Statistics; Social science

16.
Prime Obsession: Bernhard Riemann and the Greatest Unsolved Problem in Mathematics is a historical book on mathematics by John Derbyshire, detailing the history of the Riemann hypothesis, named for Bernhard Riemann, and some of its applications. Wikipedia
Originally published: 2003
Author: John Derbyshire
Pages: 442
Genres: Biography, Popular science, Reference work

17.
How Not to Be Wrong: The Power of Mathematical Thinking, written by Jordan Ellenberg, is a New York Times Best Selling book that connects various economic and societal philosophies with basic mathematics and statistical principles. Wikipedia
Originally published: 29 May 2014
Author: Jordan Ellenberg
Pages: 468 pp
Genre: Mathematics

18.
Humble Pi: A Comedy of Maths Errors
Book by Matt Parker
#1 INTERNATIONAL BESTSELLER   AN ADAM SAVAGE BOOK CLUB PICKThe book-length answer to anyone who ever put their hand up in math class and asked, “When am I ever going to use this in the real world?” ... Google Books
Originally published: 7 March 2019
Author: Matt Parker
Genre: Humor

19.
Book of Proof
Book by Richard Hammack
This book is an introduction to the language and standard proof methods of mathematics. It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. ... Google Books
Originally published: 2009
Author: Richard Hammack
Genre: Textbook

20.
The Music of the Primes
Book by Marcus du Sautoy
The Music of the Primes is a 2003 book by Marcus du Sautoy, a professor in mathematics at the University of Oxford, on the history of prime number theory. In particular he examines the Riemann hypothesis, the proof of which would revolutionize our understanding of prime numbers. Wikipedia
Originally published: 29 April 2003
Author: Marcus du Sautoy

21.
Abstract Algebra, 4th Edition is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics. ... Google Books
Originally published: 1967

22.
The Wonder Book of Geometry: A Mathematical Story
Book by David Acheson
How can we be sure that Pythagoras's theorem is really true? Why is the 'angle in a semicircle' always 90 degrees? And how can tangents help determine the speed of a bullet? David Acheson takes the reader on a highly illustrated tour through the history of geometry, from ancient Greece to the present day. ... Google Books
Originally published: 2020
Author: David Acheson

23.
"Calculus Volume 1 is designed for the two- or three-semester calculus course. For many students, this course provides the foundation to a career in mathematics, science, or engineering. ... Google Books
Originally published: 7 March 2016
Authors: Edwin Herman, Gilbert Strang
Genre: Textbook

24.
Mathematics Formulae & Definitions ( R-1009)
Book by Ramanand Thakur

25.
Algebraic curves
Book by William Fulton
The aim of these notes is to develop the theory of algebraic curves from the viewpoint of modern algebraic geometry, but without excessive prerequisites. ... Google Books
Originally published: 1969
Author: William Fulton

26.
Calculus on Manifolds: A Modern Approach to Classical Theorems of Advanced Calculus by Michael Spivak is a brief, rigorous, and modern textbook of multivariable calculus, differential forms, and integration on manifolds for advanced undergraduates. Wikipedia
Originally published: 1965
Author: Michael Spivak
Pages: 146

27.
Answer key for Contemporary abstract algebra
Textbook by Joseph Gallian
Overview
"Whereas many partial solutions and sketches for the odd-numbered exercises appear in the book, the Student Solutions Manual, written by the author, has comprehensive solutions for all odd-numbered exercises and large number of even-numbered exercises. ... Google Books
Originally published: 31 December 1974
Author: Joseph Gallian
Genre: Textbook

28.
Elementary Number Theory
Book by Gareth Jones
Our intention in writing this book is to give an elementary introduction to number theory which does not demand a great deal of mathematical back ground or maturity from the reader, and which can be read and understood with no extra assistance. ... Google Books
Originally published: 31 July 1998
Author: Gareth Jones
Followed by: Basic linear algebra

29.
Enumerative Combinatorics: Volume 1
Book by Richard P. Stanley
Publisher Description (unedited publisher data) This second volume of a two-volume basic introduction to enumerative combinatorics covers the composition of generating functions, trees, algebraic generating functions, D-finite generating functions, noncommutative generating functions, and symmetric functions. ... Google Books
Originally published: 31 July 1986
Author: Richard P. Stanley

30.
The Elements of Statistical Learning
Book by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. ... Google Books
Originally published: 2001
Authors: Trevor Hastie, Jerome H. Friedman, Robert Tibshirani
Genre: Textbook
Editors: Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

31.
The Art of Statistics: How to Learn from Data
Book by David Spiegelhalter
'A statistical national treasure' Jeremy Vine, BBC Radio 2'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? ... Google Books
Originally published: 3 September 2019
Author: David Spiegelhalter

32.
The Cauchy-Schwarz Master Class
Book by J. Michael Steele
Michael Steele describes the fundamental topics in mathematical inequalities and their uses. Using the Cauchy-Schwarz inequality as a guide, Steele presents a fascinating collection of problems related ... Google Books
Originally published: 2004
Author: J. Michael Steele

33.
Linear algebra done right
Book by Sheldon Axler

This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. ... Google Books
Originally published: 1995
Author: Sheldon Axler
Genre: Textbook

34.
How to Solve It is a small volume by mathematician George Pólya describing methods of problem solving. Wikipedia
Originally published: 1945
Author: George Pólya
Genre: Textbook

35.
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography is a book by Simon Singh, published in 1999 by Fourth Estate and Doubleday. The Code Book describes some illustrative highlights in the history of cryptography, drawn from both of its principal branches, codes and ciphers. Wikipedia
Originally published: 1999
Author: Simon Lehna Singh
Genre: Non-fiction
Original language: English
Pages: 416 (first edition)

36.
E: The Story of a Number
Book by Eli Maor
The interest earned on a bank account, the arrangement of seeds in a sunflower, and the shape of the Gateway Arch in St. Louis are all intimately connected with the mysterious number e. ... Google Books
Originally published: 1994
Author: Eli Maor

37.
What If?: Serious Scientific Answers to Absurd Hypothetical Questions is a 2014 non-fiction book by Randall Munroe in which the author answers hypothetical science questions sent to him by readers of his webcomic, xkcd. Wikipedia
Originally published: 2 September 2014
Author: Randall Munroe
Genre: Humor
Original language: English
Pages: 320 pages
Nominations: Goodreads Choice Awards Best Nonfiction

38.
Our Mathematical Universe: My Quest for the Ultimate Nature of Reality is a 2014 nonfiction book by the Swedish-American cosmologist Max Tegmark. Wikipedia
Originally published: 7 January 2014
Author: Max Tegmark
Genre: Non-fiction
Pages: 432

39.
Essays on the theory of numbers
Book by Richard Dedekind
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. ... Google Books
Originally published: 1901
Author: Richard Dedekind

40.
A Course of Pure Mathematics is a classic textbook in introductory mathematical analysis, written by G. H. Hardy. It is recommended for people studying calculus. First published in 1908, it went through ten editions and several reprints. Wikipedia
Originally published: 1908
Author: G. H. Hardy

41.
Euclid's Elements
Book by Euclid

The Elements is a mathematical treatise consisting of 13 books attributed to the ancient Greek mathematician Euclid in Alexandria, Ptolemaic Egypt c. 300 BC. It is a collection of definitions, postulates, propositions, and mathematical proofs of the propositions. Wikipedia

Author: Euclid
Original language: Ancient Greek
Publication date: c. 300 BC
Subject: Euclidean geometry, elementary number theory, incommensurable lines
Pages: 13 books

42.
The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation
Book by Hannah Fry
Overview
In this must-have for anyone who wants to better understand their love life, a mathematician pulls back the curtain and reveals the hidden patterns—from dating sites to divorce, sex to marriage—behind ... Google Books
Originally published: 3 February 2015
Author: Hannah Fry
Genre: Self-help book
Original language: English

43.
The Math of Life and Death: 7 Mathematical Principles That Shape Our Lives
Book by Kit Yates
Brilliant and entertaining mathematician Kit Yates illuminates seven mathematical concepts that shape our daily lives.From birthdays to birth rates to how we perceive the passing of time, mathematical patterns shape our lives. ... Google Books
Originally published: 2019
Author: Kit Yates

44.
Mathematics for Human Flourishing
Book by Francis Su
An inclusive vision of mathematics—its beauty, its humanity, and its power to build virtues that help us all flourish   For mathematician Francis Su, a society without mathematical affection is like a city without concerts, parks, or museums. ... Google Books
Originally published: 7 January 2020
Author: Francis Su

45.
Beyond Infinity: An Expedition to the Outer Limits of Mathematics
Book by Eugenia Cheng
"[Cheng] does a great service by showing us non-mathematician schlubs how real mathematical creativity works." -- Wall Street Journal How big is the universe? How many numbers are there? And is infinity + 1 is the same as 1 + infinity? Such questions occur to young children and our greatest minds. ... Google Books
Originally published: 9 March 2017
Author: Eugenia Cheng

46.
Principles of Mathematical Analysis, colloquially known as "PMA" or "Baby Rudin," is an undergraduate real analysis textbook written by Walter Rudin. Initially published by McGraw Hill in 1953, it is one of the most famous mathematics textbooks ever written, and is renowned for its elegant and concise style of proof. Wikipedia
Originally published: 1953
Author: Walter Rudin
Genre: Textbook

47.
The Fractal Geometry of Nature is a 1982 book by the Franco-American mathematician Benoît Mandelbrot. Wikipedia
Originally published: 1982
Author: Benoit Mandelbrot
Genre: Reference work
Original language: English

48.
20 Years Chapterwise Topicwise (2021-2002) JEE Main Solved Papers Mathematics
Book

49.
Integral Calculus for Begineers
Book by Joseph Edwards
Author: Joseph Edwards
Genre: Study guide

50.
Algorithms to Live By: The Computer Science of Human Decisions
Book by Brian Christian and Thomas L. Griffiths
A fascinating exploration of how computer algorithms can be applied to our everyday lives.In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. ... Google Books
Originally published: 19 April 2016
Authors: Brian Christian, Thomas L. Griffiths
Genre: Self-help book
Tags: List of Books,Mathematical Foundations for Data Science,

Sunday, February 12, 2023

PySpark Books (2023 Feb)

Download Books
1. Tomasz Drabas, Denny Lee
Packt Publishing Ltd, 27-Feb-2017

2.
Data Analysis with Python and PySpark
Jonathan Rioux
Simon and Schuster, 12-Apr-2022 

3.
PySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
Denny Lee, Tomasz Drabas
Packt Publishing Ltd, 29-Jun-2018

4.
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
Pramod Singh
Apress, 14-Dec-2018

5.
Learning Spark: Lightning-Fast Big Data Analysis
Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia
"O'Reilly Media, Inc.", 28-Jan-2015 

6.
Advanced Analytics with PySpark
Akash Tandon, Sandy Ryza, Sean Owen, Uri Laserson, Josh Wills
"O'Reilly Media, Inc.", 14-Jun-2022

7.
PySpark Recipes: A Problem-Solution Approach with PySpark2
Raju Kumar Mishra
Apress, 09-Dec-2017

8.
Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
Pramod Singh
Apress, 06-Sept-2019

9.
Learning Spark
Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
"O'Reilly Media, Inc.", 16-Jul-2020

10.
Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills
"O'Reilly Media, Inc.", 12-Jun-2017

11.
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Ramcharan Kakarla, Sundar Krishnan, Sridhar Alla
Apress, 2021

12.
Essential PySpark for Scalable Data Analytics: A beginner's guide to harnessing the power and ease of PySpark 3
Sreeram Nudurupati
Packt Publishing Ltd, 29-Oct-2021

13.
Spark: The Definitive Guide: Big Data Processing Made Simple
Bill Chambers, Matei Zaharia
"O'Reilly Media, Inc.", 08-Feb-2018

14.
Spark for Python Developers
Amit Nandi
Packt Publishing, 24-Dec-2015

15.
Frank Kane's Taming Big Data with Apache Spark and Python
Frank Kane
Packt Publishing Ltd, 30-Jun-2017

16.
Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
Gerard Maas, Francois Garillot
"O'Reilly Media, Inc.", 05-Jun-2019

17.
Data Analytics with Spark Using Python
Jeffrey Aven
Addison-Wesley Professional, 18-Jun-2018

18.
Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Mark Needham, Amy E. Hodler
"O'Reilly Media, Inc.", 16-May-2019 

19.
Spark in Action: Covers Apache Spark 3 with Examples in Java, Python, and Scala
Jean-Georges Perrin
Simon and Schuster, 12-May-2020

20.
Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling
Javier Luraschi, Kevin Kuo, Edgar Ruiz
"O'Reilly Media, Inc.", 07-Oct-2019

21.
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Holden Karau, Rachel Warren
"O'Reilly Media, Inc.", 25-May-2017

22.
Apache Spark in 24 Hours, Sams Teach Yourself
Jeffrey Aven
Sams Publishing, 31-Aug-2016
Tags: List of Books,Spark,

Thursday, February 9, 2023

Machine Learning Books (Mar 2020)

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Putting the books listed below into three categories based on complexity

I: Mathematical Theory

  • 1. Deep Learning
    Book by Aaron Courville, Ian Goodfellow, and Yoshua Bengio
  • 5. Pattern Recognition and Machine Learning
    Book by Christopher Bishop
  • 8. Understanding Machine Learning: From Theory to Algorithms
    Textbook by Shai Ben-David and Shai Shalev-Shwartz

II: Mix of Theory and Applied Study

  • 2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    Concepts, Tools, and Techniques to Build Intelligent Systems
    Book by Aurelien Geron

III: Applied Study

  • 6. The Hundred-Page Machine Learning Book
    Book by Andriy Burkov
  • 9. Machine Learning for Absolute Beginners: A Plain English Introduction
    Book by O. Theobald
  • 52. Machine Learning in Python (Essential Techniques For Predictive Analysis)
    By: Michael Bowles
  • 53. Fifty Algorithms Every Programmer Should Know (2e)
    By: Imran Ahmad (PhD)
  • 54. Applied Machine Learning and AI for Engineers
    Solve Business Problems That Can't Be Solved Algorithmically (Release 1)
    Jeff Prosise
    O’Reilly Media, Inc. (2022)

All

1. Deep Learning Book by Aaron Courville, Ian Goodfellow, and Yoshua Bengio 2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems Book by Aurelien Geron 3. The Elements of Statistical Learning Book by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie 4. An Introduction to Statistical Learning: With Applications in R Book 5. Pattern Recognition and Machine Learning Book by Christopher Bishop 6. The Hundred-Page Machine Learning Book Book by Andriy Burkov 7. Deep Learning with Python Book by François Chollet 8. Understanding Machine Learning: From Theory to Algorithms Textbook by Shai Ben-David and Shai Shalev-Shwartz 9. Machine Learning for Absolute Beginners: A Plain English Introduction Book by O. Theobald 10. Python Machine Learning Book by Sebastian Raschka 11. Artificial Intelligence: A Modern Approach Textbook by Peter Norvig and Stuart J. Russell 12. Introduction to Machine Learning Textbook by Ethem Alpaydın 13. Machine Learning: A Probabilistic Perspective Textbook by Kevin P. Murphy 14. Machine Learning for Hackers Book by Drew Conway and John Myles White 15. Programming Collective Intelligence Book: O'Reilly 16. Machine Learning For Dummies Book by John Mueller and Luca Massaron 17. Bayesian Reasoning and Machine Learning Book by David Barber 18. Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton 19. Learning from Data: A Short Course Book by Hsuan-Tien Lin, Malik Magdon-Ismail, and Yaser Abu-Mostafa 20. Machine Learning in Action Book by Peter Harrington 21. Machine Learning: The Art and Science of Algorithms that Make Sense of Data Book by Peter Flach 22. Introduction to Machine Learning with Python A Guide for Data Scientists Author(s): Andreas C. Müller, Sarah Guido Publisher: O’Reilly Media, Year: 2016 23. Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies Textbook by Aoife D'Arcy, Brian Mac Namee, and John D. Kelleher 24. Mining of Massive Datasets Book by Anand Rajaraman and Jeffrey Ullman 25. Foundations of Machine Learning Textbook by Afshin Rostamizadeh, Ameet Talwalkar, and Mehryar Mohri 26. Superintelligence: Paths, Dangers, Strategies Book by Nick Bostrom 27. Make Your Own Neural Network: A Gentle Journey Through the Mathematics ... Book by Tariq Rashid 28. Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow 2, 3rd Edition Book by Sebastian Raschka and Vahid Mirjalili 29. Machine Learning: An Algorithmic Perspective Book by Stephen Marsland 30. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Book by Pedro Domingos 31. Grokking Deep Learning Book by Andrew W. Trask 32. Advances in Financial Machine Learning Book by Marcos Lopez de Prado 33. Machine Learning: A Guide to Current Research Book by Tom M. Mitchell 34. Pattern Classification Book by David G. Stork, Peter E. Hart, and Richard O. Duda 35. Building Machine Learning Systems with Python - Second Edition Book by Luis Pedro Coelho and Willi Richert 36. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference Book by Cameron Davidson-Pilon 37. Information Theory, Inference and Learning Algorithms Textbook by David J. C. MacKay 38. Probabilistic Graphical Models: Principles and Techniques Book by Daphne Koller and Nir Friedman 39. Interpretable Machine Learning Book by Christoph Molnar 40. The Book of Why: The New Science of Cause and Effect Book by Dana Mackenzie and Judea Pearl 41. Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms Book by Nicholas Locascio and Nikhil Buduma 42. Deep Reinforcement Learning Hands-On: Apply Modern RL Methods, with Deep Q-networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More 43. Think Stats Book by Allen B. Downey 44. Gaussian Processes for Machine Learning Book by Carl Edward Rasmussen and Christopher K. I. Williams 45. Data Mining: Practical Machine Learning Tools and Techniques Book 46. Machine Learning with R Book by Brett Lantz 47. Python Data Science Handbook: Essential Tools for Working with Data Book by Jake VanderPlas 48. Real world machine learning: video edition Book by Henrik Brink, Joseph Richards, and Mark Fetherolf 49. Machine Learning Algorithms: Popular Algorithms for Data Science and Machine Learning Book by Giuseppe Bonaccorso 50. Machine Learning: A Bayesian and Optimization Perspective Book by Sergios Theodoridis 51. Mathematics for Machine Learning Textbook by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth 52. Machine Learning in Python (Essential Techniques For Predictive Analysis) By: Michael Bowles 53. Fifty Algorithms Every Programmer Should Know (2e) By: Imran Ahmad (PhD) 54. Applied Machine Learning and AI for Engineers Solve Business Problems That Can't Be Solved Algorithmically (Release 1) Jeff Prosise O’Reilly Media, Inc. (2022)
Tags: List of Books,Machine Learning,

Thursday, January 5, 2023

Emotional Intelligence Books (Oct 2019)

Download Books
# 1 - 4
1: Emotional Intelligence - Why it matter more than IQ (Daniel Goleman) 2: Emotional Intelligence 2.0 (Jean Greaves and Travis Bradberry) # 5 - 9
# 10 - 13
# 14 - 18
# 19 - 23
# 24 - 28 # 29 - 32
# 33 - 37
# 38 - 41
# 42 - 46
# 47 - 51
Tags: List of Books,

Sunday, December 25, 2022

Index of Book Summaries


Toggle All Sections

Book Summaries

Politics

  1. Staggering forward - Narendra Modi and India's global ambition (Bharat Karnad) - Highlights
  2. 48 Laws of power (Robert Greene) - Book Summary
  3. Secrets to winning at office politics (Marie McIntyre, 2005) - Summary
  4. Joe Biden (by Evan Osnos, 2020, Highlights) [Tags: Biography, Politics]
  5. Art of War (by Sun Tzu) - Summary
  6. My Land and My People (by HH Dalai Lama XIV) - Highlights [Tags: Autobiography, Politics]

Buddhism

  1. Why We Meditate: The Science And Practice of Clarity and Compassion (by Daniel Goleman and Tsoknyi Rinpoche)
  2. Think Like a Monk (by Jay Shetty)
  3. Zen Mind, Beginner's Mind (Book Summary)

Goal Setting

  1. Atomic Habits (By James Clear)
  2. The One Thing (by Gary Keller) - 15 minutes long summary

Non-fiction

  1. Seven Principles for Making Marriage Work (John Gottman) - Book Summary
  2. How to stop worrying and start living (Dale Carnegie)
  3. The Journey (Tarun Deep Singh, Genre: Philosophy) - Book Summary
  4. You Are a Badass. How to stop doubting your greatness and start living an awesome life (Jen Sincero, 2013)
  5. Subtle Art of Not Giving a F*ck. A counter intuitive approach to living a good life. (Mark Manson, 2016)
  6. The Top 200 Secrets of Success and the Pillars of Self-Mastery (Robin Sharma)
  7. Stories from 'How Not to be Wrong' by Jordan Ellenberg

Fiction

  1. The White Tiger (by Aravind Adiga) - Highlights
  2. A Game of Thrones (by George RR Martin) - book review
  3. The God of Small Things (Arundhati Roy) - Highlights
  4. One flew over the cuckoo's nest (by Ken Kesey) - Highlights
  5. Pride and Prejudice (Jane Austen) - Highlights
  6. Sense and Sensibility (by Jane Austen) - Highlights

Book Lists

Books

Emotional Intelligence

  1. The Cost of Emotional Illiteracy (And a lesson about Depression)
    Book: Emotional Intelligence - Why it Can Matter More Than IQ (Daniel Goleman, 2009)

Business Self-Help

  1. Business Adventures. Twelve Classic Tales from the World of Wall Street-Open Road Media (2014, John Brooks)
  2. Steve Jobs (by Walter Isaacson)
  3. Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business (by Tom Taulli)

Fiction

  1. The White Tiger (by Aravind Adiga)

Downloads

Tags: Book Summary,List of Books,