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 -Class imbalance +Random forest -IPython"

Positive matches

• 0.022 + - scikit-learn
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.019 + - Decision tree
• 0.018 + - Gilles Louppe
• 0.018 + - Gradient descent
• 0.017 + - Poker
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - Recommender system
• 0.011 + - tf-idf
• 0.011 + - Learning
• 0.007 + - Future of work
• 0.007 + - Regular expression
• 0.007 + - Boosting (machine learning)
• 0.006 + - Privacy and Deanonymization
• 0.006 + - tfidf
• 0.005 + - Data science
• 0.005 + - skorch
• 0.004 + - Lexical feature selection

Negative matches

• 0.031 + - Deep learning
• 0.018 + - Python/Modules
• 0.016 + - Python
• 0.004 + - Python/Beautiful soup
• 0.003 + - Progress bar
• 0.002 + - Python/Bokeh
• 0.001 + - Geovisualization
• 0.001 + - Python/Black
• 0.001 + - Python/Style
• 0.001 + - Python/doit
• 0.001 + - Selenium (software)
• 0.001 + - Information visualization
• 0.001 + - Slopegraph
• 0.001 + - Pajek
• 0.001 + - Python/pandas
• 0.001 + - Python/Blaze
• 0.001 + - Python/Vincent
• 0.001 + - Python/Debugging
• 0.001 + - Python/statsmodels
• 0.001 + - Beautiful soup (Python)