README.md

DS&ML Learning Resources

Data Structures and Algorithms :

The following resources are for learning basic Algorithm/Data-Structures Stuff that is invaluable for any field of CS. We shall need lots of basic concepts from these domains and a strong base in this regard is required for serious research in any subfield of CS, especially math/computation intensive fields like Data Science and ML/DL.

• MIT OCW 6.006 (Introduction to Algorithms)
• Stanford Algorithms
• UC SD Data Structures and Algorithms

Test Yourself :

• Hackerrank Algorithms Track
• Hackerrank Data Structures Track

Visualization and Application using p5.js :

• Daniel Shiffman : Algorithms and Graphs
• Daniel Shiffman : Genetic Algorithms

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Python Tutorials :

• University of Michigan - Python (First Three Courses of the Specialization Only, for now)
• DataCamp Python[RECOMMENDED]
• Socratica Python[USEFUL]

Data Science Tech Stack(Basic Python Libraries)

• Numpy
• Pandas
• Matplotlib
• SeaBorn

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Machine Learning :

Courses :

• Machine Learning Coursera[NECESSARY]
• MIT 6.034
• Machine Learning Crash Course by Google[RECOMMENDED]
• Kaggle - Machine Learning[QUICKSTARTER]

Reference Books :

• Introduction to Statistical Learning
• Pattern Recognition And Machine Learning

Tech Stack :

• Python
• Numpy
• Pandas
• SciPy
• Scikit Learn
• Matplotlib

Try to implement basic ML Algorithms on your own using numpy. Afterwards you may use Scikit Learn and compare the results. ( Refer to DataCamp and other online tutorials, including YouTube if you get stuck)

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Deep Learning :

Courses and MOOCs :

• DeepLearning.AI Coursera[NECESSARY]
• Deep Learning by Google on Udacity[RECOMMENDED]
• Kaggle - Deep Learning

Maths Needed For Deep Learning

• The Matrix Calculus You Need For Deep Learning

Reference Books :

• The Deep Learning Book
• Artificial Intelligence : A modern approach (Peter Norvig )

Tech Stack :

• Keras
• Tensorflow
• TFLearn
• Pytorch
• Theano

Additional Misc Resources :

• Youtube
  • Siraj Raval
  • The Coding Train
  • 3Blue1Brown
  • Two Minute Papers
  • SentDex
• Blogs :
  • Sebastian Ruder
  • Towards Data Science(Medium)
  • Other Medium Publications including ML and IM
  • Machine Learning Mastery
  • Christopher Olah
• Machine Learning Subreddit
  • WAYR Thread

For Deep Learning, trying to implement a basic 3 layer Neural Network in Numpy for solving the XOR problem proves to be a great kickstarting task. ( Refer to DL CheatSheet and other online tutorials, including YouTube if you get stuck) Additionally go over to Kaggle and try to solve a few problems, taking cues from solved ipython notebooks and kernels.