Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Probability theory -Probability distribution +https:/github.com/JohnLangford/vowpal wabbit/wiki +Beta distribution -Learning"

Positive matches

• 0.081 + - Class imbalance
• 0.033 + - Dirichlet distribution
• 0.012 + - Jupyter/notebook
• 0.011 + - Edwin Thompson Jaynes
• 0.011 + - Stochastic process
• 0.011 + - Probability Theory: The Logic of Science
• 0.011 + - Bayesian inference
• 0.011 + - Frequentist inference
• 0.011 + - Poker
• 0.011 + - IPython notebook
• 0.010 + - Gradient descent
• 0.005 + - Privacy and Deanonymization
• 0.005 + - Future of work
• 0.004 + - scikit-learn
• 0.004 + - Training dataset
• 0.004 + - Image completion
• 0.004 + - EM algorithm
• 0.004 + - GraphLab
• 0.004 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.004 + - Boosting (machine learning)

Negative matches

• 0.046 + - Deep learning
• 0.017 + - Michael Ramscar
• 0.017 + - How to study
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - Keras
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Residual Learning
• 0.002 + - Research advices
• 0.002 + - Residual leanrning
• 0.002 + - Autoencoder
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Generative adversarial network
• 0.000 + - word2vec
• 0.000 + - Differentiable neural computers