Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent +Class imbalance -Naive Bayes classifier +Paradox +scikit-learn -Python/Modules"

Positive matches

• 0.033 + - Neural network
• 0.031 + - Simpson's paradox
• 0.028 + - Neuron
• 0.025 + - Recommender system
• 0.025 + - Decision tree
• 0.022 + - Ulrike von Luxburg
• 0.015 + - Random forest
• 0.014 + - Boosting (machine learning)
• 0.013 + - tfidf
• 0.012 + - Learning
• 0.011 + - IPython notebook
• 0.011 + - Future of work
• 0.011 + - Jupyter/notebook
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Poker
• 0.010 + - Regular expression
• 0.010 + - skorch
• 0.010 + - tf-idf
• 0.009 + - Tim Hopper
• 0.007 + - Python

Negative matches

• 0.005 + - Python/Blaze
• 0.005 + - Beautiful soup (Python)
• 0.005 + - Python/Test
• 0.004 + - Probability
• 0.003 + - Python/Ray
• 0.003 + - PyPrind
• 0.003 + - Python/Sphinx
• 0.003 + - Python/Beautiful soup
• 0.003 + - Tox
• 0.003 + - Python/nose
• 0.003 + - pip
• 0.003 + - SQLAlchemy
• 0.003 + - Tweepy
• 0.003 + - Geocoding libraries
• 0.003 + - StatsModel
• 0.003 + - matplotlib
• 0.003 + - Python/multiprocessing
• 0.003 + - SciPy
• 0.003 + - Web mining
• 0.003 + - execnet