Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Simpson's paradox +David Feldman +Recommender system +Rob Schapire +IPython +Artemy Kolchinsky +Ron Meir +Poker -Learning"

Positive matches

• 0.055 + - Probability, Paradox, and the Reasonable Person Principle
• 0.038 + - Lexical feature selection
• 0.036 + - Class imbalance
• 0.029 + - Netflix prize
• 0.029 + - Python
• 0.028 + - Class imbalance problem
• 0.023 + - Probability
• 0.022 + - Gradient descent
• 0.021 + - Python/Modules
• 0.018 + - SSH tunneling
• 0.015 + - Yoav Freund
• 0.015 + - SSH
• 0.013 + - Data science
• 0.012 + - Jupyter
• 0.008 + - David MacKay
• 0.008 + - Cross entropy
• 0.008 + - Information Theory, Inference, and Learning Algorithms
• 0.007 + - Pointwise mutual information
• 0.007 + - Gibbs' inequality
• 0.007 + - Kullback–Leibler divergence

Negative matches

• 0.014 + - How to study
• 0.014 + - Michael Ramscar
• 0.009 + - Deep learning
• 0.001 + - Jonah Lehrer
• 0.001 + - 유재명
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Thermostat
• 0.001 + - Generative adversarial network
• 0.001 + - Quoc Le
• 0.001 + - Differentiable neural computers
• 0.001 + - Yoshua Bengio
• 0.001 + - Residual leanrning
• 0.001 + - Research advices
• 0.001 + - Memorization
• 0.001 + - Yann LeCun
• 0.001 + - Recurrent neural network
• 0.000 + - Residual Learning
• 0.000 + - Keras