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 -Ulrike von Luxburg +Neuron +Probability +Probability theory +Class imbalance +scikit-learn -Neural network"

Positive matches

• 0.026 + - Probability distribution
• 0.020 + - Recommender system
• 0.019 + - Decision tree
• 0.015 + - Boosting (machine learning)
• 0.013 + - Learning
• 0.013 + - Random forest
• 0.011 + - tf-idf
• 0.011 + - Lexical feature selection
• 0.011 + - IPython notebook
• 0.010 + - skorch
• 0.010 + - Regular expression
• 0.010 + - tfidf
• 0.010 + - Python/Modules
• 0.010 + - Jupyter/notebook
• 0.009 + - Edwin Thompson Jaynes
• 0.009 + - Probability Theory: The Logic of Science
• 0.009 + - Bayesian inference
• 0.009 + - Frequentist inference
• 0.009 + - Stochastic process
• 0.009 + - Poker

Negative matches

• 0.016 + - Paper/Srivastava2014
• 0.007 + - word2vec
• 0.006 + - Neural Turing machine
• 0.005 + - Dropout
• 0.004 + - Jack Terwilliger
• 0.004 + - Ilya Sutskever
• 0.004 + - Paradox
• 0.004 + - sense2vec
• 0.003 + - Recurrent neural network
• 0.003 + - Gensim
• 0.003 + - Liquid state machine
• 0.002 + - Paper/Levy2014
• 0.002 + - Hierarchical softmax
• 0.001 + - Skip-gram
• 0.001 + - Natural language processing
• 0.001 + - Gender bias
• 0.001 + - Chris McCormick
• 0.001 + - Continuous embedding
• 0.001 + - WordRank
• 0.001 + - Paper/Hamilton2016