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 +Training dataset +Deep learning +Poker +Paradox +Class imbalance -Michael I. Jordan -scikit-learn"

Positive matches

• 0.029 + - Simpson's paradox
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.016 + - Language
• 0.013 + - Gradient descent
• 0.012 + - Recommender system
• 0.011 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.009 + - Boosting (machine learning)
• 0.008 + - Residual leanrning
• 0.008 + - Artificial neural network
• 0.007 + - GraphLab
• 0.005 + - Regex
• 0.005 + - Sargur Srihari
• 0.005 + - Tom M. MItchell
• 0.005 + - Machine learning for healthcare
• 0.005 + - Python#Modules_.26_Libraries
• 0.005 + - One-shot learning
• 0.005 + - Cross validation
• 0.005 + - Image completion

Negative matches

• 0.011 + - tfidf
• 0.008 + - Python
• 0.008 + - Lexical feature selection
• 0.007 + - Decision tree
• 0.007 + - Tim Hopper
• 0.006 + - Python/Modules
• 0.006 + - skorch
• 0.005 + - tf-idf
• 0.003 + - PyTorch
• 0.003 + - Random forest
• 0.002 + - Text analysis
• 0.001 + - PyPy
• 0.001 + - programming language
• 0.001 + - Pointwise mutual information
• 0.001 + - David Goodger
• 0.001 + - Python/Test
• 0.001 + - PyPrind
• 0.001 + - Data analysis
• 0.001 + - Scientific computing
• 0.001 + - Python vs. R