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 +Jupyter/notebook -Artemy Kolchinsky +Decision tree -IPython"

Positive matches

• 0.139 + - Class imbalance
• 0.041 + - Random forest
• 0.036 + - Gradient descent
• 0.033 + - Recommender system
• 0.026 + - Ulrike von Luxburg
• 0.019 + - Boosting (machine learning)
• 0.018 + - Learning
• 0.014 + - Jupyter
• 0.014 + - Poker
• 0.014 + - Future of work
• 0.013 + - Privacy and Deanonymization
• 0.012 + - scikit-learn
• 0.010 + - Regex
• 0.009 + - Regular expression
• 0.006 + - Paradox
• 0.006 + - Computer science
• 0.006 + - Deep learning
• 0.005 + - SSH tunneling
• 0.005 + - Artificial neural network
• 0.004 + - Tom M. MItchell

Negative matches

• 0.022 + - Python/Modules
• 0.020 + - Python
• 0.003 + - JSON
• 0.003 + - Python/Beautiful soup
• 0.002 + - Vim
• 0.002 + - Python/CLI
• 0.002 + - Python/Test
• 0.001 + - d3py
• 0.001 + - Python/Vincent
• 0.001 + - Python/Bokeh
• 0.001 + - Slopegraph
• 0.001 + - Python/Packaging
• 0.001 + - Python/Pandas
• 0.001 + - Probability
• 0.001 + - Python/Style
• 0.001 + - Python/Sphinx
• 0.000 + - Python/Black
• 0.000 + - Pajek
• 0.000 + - Python/doit
• 0.000 + - Data science