Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Class imbalance -Rob Schapire +Class imbalance problem +Data science -Poker +Ron Meir -David Feldman -Simpson's paradox +Gibbs' inequality -Learning"

Positive matches

• 0.048 + - Lexical feature selection
• 0.048 + - Probability, Paradox, and the Reasonable Person Principle
• 0.035 + - Kullback–Leibler divergence
• 0.025 + - Probability
• 0.023 + - Computational social science
• 0.022 + - Pointwise mutual information
• 0.020 + - Jupyter/notebook
• 0.017 + - Gradient descent
• 0.015 + - Yoav Freund
• 0.010 + - IPython
• 0.010 + - Industry-Academic Partnership
• 0.010 + - SSH tunneling
• 0.009 + - Python
• 0.008 + - Cross entropy
• 0.008 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - David MacKay
• 0.008 + - Recommender system
• 0.007 + - Privacy and Deanonymization
• 0.007 + - SSH
• 0.006 + - Jay Keyser

Negative matches

• 0.014 + - Michael Ramscar
• 0.014 + - How to study
• 0.008 + - Deep learning
• 0.001 + - Jonah Lehrer
• 0.001 + - 유재명
• 0.001 + - Thermostat
• 0.001 + - word2vec
• 0.001 + - Practice
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Residual Learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Yoshua Bengio
• 0.001 + - Residual leanrning
• 0.001 + - Research advices
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Generative adversarial network
• 0.000 + - Brain and deep learning
• 0.000 + - Quoc Le
• 0.000 + - Convolutional neural network