Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Class imbalance +Rob Schapire +Learning -Poker +IPython +How to study -Simpson's paradox -Deep learning"

Positive matches

• 0.060 + - Class imbalance problem
• 0.057 + - Probability, Paradox, and the Reasonable Person Principle
• 0.050 + - Lexical feature selection
• 0.031 + - Python
• 0.027 + - Jupyter/notebook
• 0.023 + - Python/Modules
• 0.019 + - Programming interview
• 0.018 + - SSH tunneling
• 0.017 + - Probability
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.016 + - Michael Ramscar
• 0.013 + - Data science
• 0.013 + - Gradient descent
• 0.010 + - Research advices
• 0.010 + - Practice
• 0.010 + - Jonah Lehrer
• 0.010 + - 유재명
• 0.009 + - Cross entropy
• 0.009 + - Information Theory, Inference, and Learning Algorithms

Negative matches

• 0.016 + - Language
• 0.006 + - Amazon EC2
• 0.006 + - Attention
• 0.003 + - Residual leanrning
• 0.003 + - Q-learning
• 0.002 + - Reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 0.002 + - Dropout
• 0.002 + - Deep learning and graphs
• 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 + - Geoffrey Hinton
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015