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 +Gradient descent +Machine learning for physical sciences +scikit-learn -Recommender system -tfidf"

Positive matches

• 0.111 + - Class imbalance
• 0.036 + - Neural network
• 0.030 + - Neuron
• 0.024 + - Ulrike von Luxburg
• 0.023 + - Decision tree
• 0.014 + - Random forest
• 0.013 + - Python/Modules
• 0.013 + - Boosting (machine learning)
• 0.013 + - skorch
• 0.012 + - Privacy and Deanonymization
• 0.012 + - Jupyter/notebook
• 0.011 + - Poker
• 0.011 + - IPython notebook
• 0.010 + - Lexical feature selection
• 0.010 + - Deep learning
• 0.010 + - Tim Hopper
• 0.010 + - Regular expression
• 0.009 + - Regex
• 0.009 + - Python
• 0.008 + - Learning

Negative matches

• 0.056 + - tf-idf
• 0.032 + - Netflix prize
• 0.002 + - Gensim
• 0.002 + - NLTK
• 0.000 + - Pipenv
• 0.000 + - Continuous embedding
• 0.000 + - Paper/Perozzi2014
• 0.000 + - Vim
• 0.000 + - Paper/Levy2014
• 0.000 + - Chris McCormick
• 0.000 + - David Goodger
• 0.000 + - RPython
• 0.000 + - Python vs. R
• 0.000 + - Python3
• 0.000 + - programming language
• 0.000 + - Python/Style