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 -Poker +Image completion -Generative adversarial networks"

Positive matches

• 0.093 + - Class imbalance
• 0.034 + - Probability distribution
• 0.025 + - Generative adversarial network
• 0.014 + - Gradient descent
• 0.013 + - IPython notebook
• 0.012 + - Edwin Thompson Jaynes
• 0.012 + - Stochastic process
• 0.012 + - Probability Theory: The Logic of Science
• 0.012 + - Bayesian inference
• 0.012 + - Frequentist inference
• 0.011 + - Jupyter/notebook
• 0.010 + - Recommender system
• 0.006 + - scikit-learn
• 0.006 + - Boosting (machine learning)
• 0.005 + - Regular expression
• 0.005 + - Privacy and Deanonymization
• 0.005 + - Learning
• 0.004 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.004 + - Machine learning for physical sciences
• 0.004 + - Kevin Murphy

Negative matches

• 0.045 + - Deep learning
• 0.014 + - Paper/Goodfellow2014
• 0.014 + - Autoencoder
• 0.009 + - Meta learning
• 0.005 + - Beer
• 0.005 + - Language
• 0.003 + - Machine translation
• 0.003 + - Dropout
• 0.002 + - Keras
• 0.002 + - Paper
• 0.002 + - Variational Autoencoder
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - Ian J. Goodfellow
• 0.002 + - Paper/Vincent2010
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Natural language processing
• 0.002 + - Differentiable neural computers
• 0.002 + - Yann LeCun
• 0.002 + - word2vec