Machine Learning Resources (Dec 2019)





Good ML Articles:

Developing the Intuition

Introduction
https://medium.com/artificial-industry/machine-learning-concepts-for-business-people-6d1180a131db

First Steps
https://hackernoon.com/absolute-beginning-into-machine-learning-e90ceda5a4bc

Fundamentals of Data Science
https://medium.freecodecamp.org/aspiring-data-scientist-master-these-fundamentals-be7c54350868

ML Algorithms
https://towardsdatascience.com/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-dde4edffae11

Simple statistics
https://towardsdatascience.com/statistics-for-people-in-a-hurry-a9613c0ed0b

Data Science project planning
https://medium.com/@jameschen_78678/data-science-x-project-planning-9cb0a2c3cfa7

Performance metrics
https://towardsdatascience.com/evaluation-metrics-for-classification-409568938a7d

Neural networks
https://becominghuman.ai/from-perceptron-to-deep-neural-nets-504b8ff616e

Delving deeper into Deep Learning
https://towardsdatascience.com/nns-aynk-c34efe37f15a
Applying the knowledge


Set up environment
https://medium.freecodecamp.org/baby-steps-to-learn-machine-learning-from-a-tennis-fan-d4171f51c23f

Dabbling in Python
https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2

NumPy
https://towardsdatascience.com/lets-talk-about-numpy-for-datascience-beginners-b8088722309f

Pandas
 https://medium.com/@harrypotter0/an-introduction-to-data-analysis-with-pandas-27ecbce2853

Matplotlib
https://heartbeat.fritz.ai/introduction-to-matplotlib-data-visualization-in-python-d9143287ae39

Scikit-learn
 https://towardsdatascience.com/hands-on-introduction-to-scikit-learn-sklearn-f3df652ff8f2

Machine learning tutorials
https://medium.mybridge.co/learn-to-build-a-machine-learning-application-from-top-articles-of-2017-cdd5638453fc

Deep learning tutorials
https://medium.com/quick-code/top-tutorials-to-learn-deep-learning-with-python-e593d3449aca

Additional Resources
1) https://towardsdatascience.com/my-journey-into-data-science-39e9bbbbf452
2) https://medium.freecodecamp.org/every-single-machine-learning-course-on-the-internet-ranked-by-your-reviews-3c4a7b8026c0
3) https://medium.freecodecamp.org/i-ranked-all-the-best-data-science-intro-courses-based-on-thousands-of-data-points-db5dc7e3eb8e


Online Courses:
 First courses would be: Machine Learning by Andrew Ng and Artificial Intelligence by Ansaf Salleb-Aouissi.
 Deep Learning by Andrew Ng — specialization of 5 courses on neural networks and their applications in real projects
 Intro to Artificial Intelligence by Peter Norvig and Sebastian Thrun — fundamentals of AI
 Deep Learning by Vincent Vanhoucke and Arpan Chakraborty — introduction to DL algorithms in Python
 Neural Networks for Machine Learning by Geoffrey Hinton — comprehensive theory-oriented course on Neural Networks
 Practical Deep Learning for Coders by Jeremy Howard — practice-oriented DL course
 Cutting Edge Deep Learning For Coders by Jeremy Howard — 2nd part of this course on state-of-the-art in DL
 Convolutional Neural Networks for Visual Recognition by Andrej Karpathy — Stanford lectures (spring 2017) on Convolutional Networks
 Deep Natural Language Processing, Oxford 2017 — comprehensive course on Deep Learning in Natural Language Processing
 Deep Learning for Self-Driving Cars, MIT 2017 — introductory course to the practice of deep learning for self-driving cars

Blogs
 •OpenAI Blog — focused on safety issues of AI
 •DeepMind Blog — “Solve intelligence. Use it to make the world a better place.”is a motto of DeepMind
 •Google Research Blog — latest news on research at Google
 •Facebook Research Blog — latest news on research at Facebook
 •Microsoft Next Blog — latest news on tech and research at Microsoft
 •The BAIR Blog — Berkeley AI Research platform
 •Intuition Machine — Deep Learning patterns, methodology and strategy
 •Distill — the most clear Machine Learning research journal

Book List
 Artificial Intelligence: A Modern Approach by Stuart Russel and Peter Norvig
 Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
 Deep Learning Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville
 AI Playbook by Andreessen Horowitz
 Neural Networks and Deep Learning by Michael Nielsen
 Machine Learning Yearning by Andrew Ng
 Deep Learning with Python (and R) by François Chollet


Big Data - Case Study Collection:

1) Python for Data analysis - https://lnkd.in/fvKavA2
2) Python Quick Reference sheet - https://lnkd.in/fa9wirz
3) Python Machine Learning Tutorial - https://lnkd.in/fteKpTY
4) All Cheat Sheets in one place - https://lnkd.in/fsmfZns
5) IBM FREE Cognitive classes for Data Science and Machine Learning - https://lnkd.in/fpp9QFT
6) Data Visualization - https://lnkd.in/f3FXCue
7) Getting Your First Data Science Job - https://lnkd.in/fQGHM2J
8) DATA SCIENCE INTERVIEW QUESTIONS - https://lnkd.in/feKZVhv
9) EXCEL EXPERT IN NO TIME - https://lnkd.in/fXC4dhj
10) 10 Minutes to Pandas - https://lnkd.in/fpwaBCq
11) Numpy 100 Exercises - https://lnkd.in/fVX7Khk
12) Quick Reference Sheet (ML , DL & AI) - https://lnkd.in/fEVYMGD
13) Machine Learning Yearning By Andrew Ng - https://lnkd.in/f_E-_pf
14) MUST READ ARTICLES FOR DATA SCIENCE ENTHUSIAST - https://lnkd.in/fwPmurj
15) Coursera Deep Learning Course Notes - https://lnkd.in/fwQRK_G
16) Commonly used Machine Learning Algorithms - https://lnkd.in/f8msx2T
17) DATA SCIENCE LEARNING PATH FOR COMPLETE BEGINNER - https://lnkd.in/f6NJJk9
18) Books - https://github.com/mravendi/data-science-machine-learning-ai-resources/tree/master/books


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