Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences -Weka +Jupyter/notebook +Deep learning -scikit-learn"

Positive matches

• 0.028 + - IPython notebook
• 0.027 + - Probability
• 0.025 + - Paradox
• 0.023 + - Language
• 0.021 + - Pajek
• 0.019 + - Probability, Paradox, and the Reasonable Person Principle
• 0.018 + - IPython
• 0.017 + - Gradient descent
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Recommender system
• 0.009 + - Boosting (machine learning)
• 0.008 + - Residual leanrning
• 0.008 + - Learning
• 0.008 + - SSH tunneling
• 0.007 + - GraphLab
• 0.007 + - Artificial neural network
• 0.007 + - Geovisualization
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Future of work

Negative matches

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