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 +Recommender system -Ulrike von Luxburg +Learning +Class imbalance -scikit-learn"

Positive matches

• 0.033 + - Netflix prize
• 0.023 + - Gradient descent
• 0.023 + - IPython notebook
• 0.021 + - Deep learning
• 0.016 + - Poker
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.015 + - Boosting (machine learning)
• 0.015 + - Future of work
• 0.014 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.012 + - SSH tunneling
• 0.012 + - Regular expression
• 0.009 + - Privacy and Deanonymization
• 0.009 + - Sargur Srihari
• 0.009 + - Tom M. MItchell
• 0.008 + - Regex
• 0.008 + - One-shot learning
• 0.008 + - Paradox

Negative matches

• 0.012 + - tfidf
• 0.009 + - PyTorch
• 0.008 + - Python
• 0.008 + - skorch
• 0.007 + - Tim Hopper
• 0.007 + - Decision tree
• 0.007 + - tf-idf
• 0.005 + - Python/Modules
• 0.004 + - Lexical feature selection
• 0.003 + - Random forest
• 0.003 + - Probability
• 0.002 + - Pointwise mutual information
• 0.001 + - Python vs. R
• 0.001 + - Python/Packaging
• 0.001 + - Text analysis
• 0.001 + - Python/Style
• 0.000 + - PyTorch-BigGraph
• 0.000 + - CPython
• 0.000 + - Python/statsmodels
• 0.000 + - NLP