Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance +Probability, Paradox, and the Reasonable Person Principle +Recommender system +Python -Jupyter/notebook +Artemy Kolchinsky -Learning"

Positive matches

• 0.050 + - Lexical feature selection
• 0.048 + - Probability
• 0.035 + - Netflix prize
• 0.033 + - Simpson's paradox
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.017 + - Pajek
• 0.015 + - Gradient descent
• 0.012 + - Poker
• 0.010 + - Future of work
• 0.010 + - Cross entropy
• 0.010 + - David MacKay
• 0.010 + - Privacy and Deanonymization
• 0.008 + - SSH tunneling
• 0.008 + - David Feldman
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - Kullback–Leibler divergence

Negative matches

• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.014 + - Deep learning
• 0.012 + - Jupyter
• 0.002 + - Memorization
• 0.002 + - Keras
• 0.002 + - Practice
• 0.002 + - Residual leanrning
• 0.002 + - Autoencoder
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Thermostat
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Residual Learning
• 0.002 + - Research advices
• 0.002 + - Generative adversarial network
• 0.001 + - Convolutional neural network
• 0.001 + - Proxy
• 0.000 + - Big data