Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +One-shot learning +Kevin Murphy +Paradox +Recommender system -Information theory"

Positive matches

• 0.044 + - Probability, Paradox, and the Reasonable Person Principle
• 0.035 + - Netflix prize
• 0.034 + - Neural network
• 0.033 + - Simpson's paradox
• 0.031 + - Neuron
• 0.022 + - Probability
• 0.013 + - Jupyter/notebook
• 0.013 + - IPython notebook
• 0.011 + - Future of work
• 0.011 + - Learning
• 0.010 + - Boosting (machine learning)
• 0.009 + - Privacy and Deanonymization
• 0.009 + - Tom M. MItchell
• 0.009 + - Image completion
• 0.009 + - Training dataset
• 0.009 + - Cluster analysis
• 0.008 + - Artificial neural network
• 0.008 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.008 + - Machine learning for healthcare
• 0.008 + - Michael I. Jordan

Negative matches

• 0.050 + - Lexical feature selection
• 0.024 + - Deep learning
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.007 + - David Feldman
• 0.007 + - Information Theory, Inference, and Learning Algorithms
• 0.007 + - Cross entropy
• 0.007 + - David MacKay
• 0.005 + - Text analysis
• 0.001 + - Data analysis
• 0.001 + - StanfordNLP
• 0.000 + - NLP
• 0.000 + - Meta learning
• 0.000 + - Biomedical natural language processing
• 0.000 + - Convolutional neural network
• 0.000 + - CNN
• 0.000 + - spaCy
• 0.000 + - scispaCy
• 0.000 + - Paper/Gatys2015