Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Recommender system +Learning +Poker +Simpson's paradox -Deep learning"

Positive matches

• 0.077 + - Probability, Paradox, and the Reasonable Person Principle
• 0.051 + - Lexical feature selection
• 0.041 + - Class imbalance problem
• 0.039 + - Class imbalance
• 0.035 + - Netflix prize
• 0.025 + - Jupyter/notebook
• 0.022 + - Paper/MacKay1991
• 0.022 + - Books
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.018 + - Rob Schapire
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.015 + - Gradient descent
• 0.015 + - IPython
• 0.013 + - Data science
• 0.012 + - SSH tunneling
• 0.012 + - Python

Negative matches

• 0.021 + - Language
• 0.008 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - RNN
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Brain and deep learning
• 0.002 + - Yann LeCun
• 0.002 + - Geoffrey Hinton
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Paper/Gatys2015