Learning Resources

• Free Python classes by Google

• Python Tutorials

• Full stack Python Resources

• PythonSpot

• Python for Beginners

• Python TutorialsPoint

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• Machine Learning, Andrew Ng [Stanford University]

• Stanford CS231n — Convolutional Neural Networks for Visual Recognition (Winter 2016) (class link)

• Stanford CS224n — Natural Language Processing with Deep Learning (Winter 2017) (class link)

• Oxford Deep NLP 2017 (Phil Blunsom et al.)

• Practical Machine Learning Tutorial with Python (sentdex)

• Calculus- Weights and Biases

• Pattern Recognition and Machine Learning

• Multivariate Calculus by Imperial College London

• Think Stats: Probability and Statistics for Python programmers

• Understanding Machine Learning From Theory to Algorithms

• Machine Learning Yearning

• A Course in Machine Learning

• Machine Learning

• Neural Networks and Deep Learning

• NIPS (Neural Information Processing Systems)

• ICML (International Conference on Machine Learning)

• KDD (Knowledge Discovery and Data Mining)

• ICLR (International Conference on Learning Representations)

• Concerning AI / iTunes

• This Week in Machine Learning and AI / iTunes

• The AI Podcast / iTunes

• Learning Machines 101 / iTunes

• The Talking Machines / iTunes

• Artificial Intelligence in Industry / iTunes

• Machine Learning Guide / iTunes