Data Science Resources

Table of Contents

• Video Lectures
  • ML and DL MOOCs
  • Mathematics
  • Other Online Video Lectures
• Reading Materials
  • Research Papers
  • GitHub
  • Tutorials
  • Notes
  • Online Books
• Articles
  • Forward and Backpropagation
  • Collection of Useful Resources
  • Misc

Video Lectures

ML and DL MOOCs

1. Coursera: Andrew NG
2. Coursera: Geoffrey Hinton
3. Caltech: Abu Mostafa
4. Stanford: NLP
5. Stanford: CNN, Videos
6. Stanford: MMDS
7. Berkeley: Deep Reinforcement Learning
8. Stanford: Convex Optimization
9. Stanford: Probabilistic Graphical Models
10. Big Data University: TensorFlow
11. Kadenze: TensorFlow
12. Udacity Nanodegree: AI
13. Udacity Nanodegree: Self Driving Car

Mathematics

1. Khan Academy: Linear Algebra
2. Khan Academy: Calculus
3. MIT: Linear Algebra
4. MIT: Calculus
5. Harvard: Stat110

Other Online Video Lectures

1. Stanford: cs231n Winter 2016 lectures
2. Bay Area Deep Learning School

• 1st Day
• 2nd Day

3. Deep Learning Summer School, Montreal
4. TensorFlow Without a PhD

Reading Materials

Research Papers

1. arxiv
2. gitxiv
3. Deep Learning Reading List
4. Hacker Dojo Deep Learning Study Papers
5. Deep Learning Papers Reading Roadmap
6. Awesome Deep Vision
7. The-9-Deep-Learning-Papers-You-Need-To-Know-About

GitHub

1. Stanford: cs231n
2. Karpathy
3. Awesome Machine Learning
4. Awesome Deep Learning
5. Awesome Deep Vision
6. A-gallery-of-interesting-Jupyter-and-IPython-Notebooks
7. Collection of Data Science iPython Notebooks
8. Hvass-Labs: TensorFlow Tutorial Notebooks

Tutorials

1. TensorFlow

Notes

1. cs229: ML Course Materials

Online Books

1. Neural Networks and Deep Learning
2. Deep Learning Book

Articles

Forward and Backpropagation

1. yes-you-should-understand-backprop
2. Neural Network in Python
3. Step By Step Backpropagation

Collection of Useful Resources

1. Open Source Data Science Masters
2. analyticsvidhya: 21 Deep Learning Videos (2016)
3. analyticsvidhya: Top YouTube Videos (2015)

Misc

1. 4 Steps for Learning Deep Learning
2. How to build a Recurrent Neural Network in TensorFlow (1/7)