Machine Learning

Neural networks

• The unreasonable effectiveness of recurrent neural networks

• Checklist for debugging neural networks

Reinforcement learning

• http://www.incompleteideas.net/

Books

• Foundations of data science

• Data8 - foundations of data science

• Reinforcement learning

• Advanced data analysis from elementry point of view

Examples

• A self-driving toy car using end-to-end learning

Resources

• Reinforcement learning book

• Hinton Resources

• MCMC

• Berkeley Combinatorial Algorithms course

• Stanford Statistical Learning

• Statistical tests in R

• Stanford Andrew Ng Machine learning and Problem set

• Scalable data science and exercises solutions

• XGBoost - Gradient boosting

  • Awesome XGBoost
  • Introduction to XGboost

• Feature Union with Heterogeneous Data Sources

Class imbalance

• Machine Learning from Imbalanced classes

• Handling imbalanced datasets - a review

• On the class imbalance problem

• RUSBoost

• Packages for doing imbalanced binary classification

• Class imbalance problem

Tensorflow

• tutorials - autoencoders, etc.

• tensorflow workshop

TinyGrad - a simpler PyTorch

• tinygrad

Related

• Information geometry