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

Positive matches

• 0.051 + - Lexical feature selection
• 0.035 + - Class imbalance
• 0.034 + - Class imbalance problem
• 0.033 + - Netflix prize
• 0.032 + - Python
• 0.031 + - Simpson's paradox
• 0.027 + - SSH tunneling
• 0.024 + - Python/Modules
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.016 + - Artemy Kolchinsky
• 0.016 + - Data science
• 0.015 + - Gradient descent
• 0.015 + - Jupyter
• 0.009 + - Cross entropy
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.013 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Research advices
• 0.002 + - Residual leanrning
• 0.002 + - Convolutional neural network
• 0.001 + - Residual Learning
• 0.001 + - Theano
• 0.000 + - Differentiable neural computers
• 0.000 + - Thermostat
• 0.000 + - Keras