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 +Jupyter/notebook -Paradox +Deep learning -IPython notebook"

Positive matches

• 0.095 + - Class imbalance
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.021 + - Language
• 0.015 + - Gradient descent
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Learning
• 0.011 + - Poker
• 0.009 + - Reinforcement learning
• 0.008 + - Recommender system
• 0.008 + - Boosting (machine learning)
• 0.006 + - Residual leanrning
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Future of work
• 0.006 + - GraphLab
• 0.006 + - Artificial neural network
• 0.006 + - Computer science
• 0.005 + - scikit-learn
• 0.005 + - Regular expression

Negative matches

• 0.033 + - Simpson's paradox
• 0.006 + - Python
• 0.004 + - Data science
• 0.004 + - SSH tunneling
• 0.002 + - Data
• 0.002 + - Python/Visualization
• 0.001 + - Python/Sphinx
• 0.001 + - Pajek
• 0.001 + - Pandas (Python)
• 0.001 + - Python/Bokeh
• 0.001 + - Python/Vincent
• 0.001 + - SSH config
• 0.000 + - Python/doit
• 0.000 + - Slope
• 0.000 + - Beautiful soup (Python)
• 0.000 + - Vim
• 0.000 + - Python/Style
• 0.000 + - Python/Blaze