Search "+Peter Norvig +Automated machine learning +Paradox +Class imbalance problem -Poker -Information theory"

Positive matches

• 0.191 + - Class imbalance
• 0.178 + - Machine learning
• 0.111 + - Probability, Paradox, and the Reasonable Person Principle
• 0.083 + - Simpson's paradox
• 0.051 + - Probability
• 0.028 + - IPython notebook
• 0.028 + - Jupyter/notebook
• 0.028 + - Travelling salesman problem
• 0.011 + - Recommender system
• 0.011 + - Gradient descent
• 0.010 + - Learning
• 0.008 + - SSH tunneling
• 0.007 + - Future of work
• 0.006 + - Tom M. MItchell
• 0.006 + - Cluster analysis
• 0.006 + - Weka
• 0.006 + - Training dataset
• 0.006 + - Carlos Guestrin
• 0.006 + - One-shot learning
• 0.006 + - Michael I. Jordan

Negative matches

• 0.115 + - Lexical feature selection
• 0.021 + - David MacKay
• 0.021 + - Kullback–Leibler divergence
• 0.021 + - Information Theory, Inference, and Learning Algorithms
• 0.021 + - Cross entropy
• 0.021 + - Pointwise mutual information
• 0.021 + - Gibbs' inequality
• 0.021 + - David Feldman
• 0.012 + - Text analysis
• 0.004 + - Natural language processing
• 0.002 + - Data analysis
• 0.001 + - Biomedical natural language processing
• 0.001 + - Liquid state machine
• 0.001 + - NLP
• 0.001 + - Residual leanrning
• 0.000 + - Convolutional neural network
• 0.000 + - Pathogen transmission
• 0.000 + - Neural doodle
• 0.000 + - spaCy
• 0.000 + - tf-idf