Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Poker +Class imbalance problem +Probability, Paradox, and the Reasonable Person Principle +IPython -Artemy Kolchinsky -Yoav Freund -Ron Meir -Python/Modules"

Positive matches

• 0.088 + - Class imbalance
• 0.050 + - Probability
• 0.040 + - Lexical feature selection
• 0.029 + - Simpson's paradox
• 0.027 + - Python
• 0.019 + - SSH tunneling
• 0.016 + - Rob Schapire
• 0.014 + - Gradient descent
• 0.013 + - Jupyter
• 0.013 + - Data science
• 0.012 + - SSH
• 0.011 + - Recommender system
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay
• 0.008 + - David Feldman
• 0.007 + - Pointwise mutual information
• 0.007 + - Cross entropy
• 0.007 + - Gibbs' inequality
• 0.007 + - Kullback–Leibler divergence
• 0.007 + - Learning

Negative matches

• 0.004 + - PyPrind
• 0.003 + - Tox
• 0.003 + - Python/nose
• 0.003 + - SQLAlchemy
• 0.003 + - pip
• 0.003 + - Tweepy
• 0.003 + - numpy
• 0.003 + - Geocoding libraries
• 0.003 + - StatsModel
• 0.003 + - matplotlib
• 0.003 + - Python/multiprocessing
• 0.003 + - SciPy
• 0.003 + - Web mining
• 0.003 + - execnet
• 0.003 + - Web application framework
• 0.003 + - Parallel computing
• 0.003 + - Twitter
• 0.002 + - Pajek
• 0.002 + - Beautiful soup (Python)
• 0.002 + - Python/Test