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 +Probability +Future of work +Class imbalance +Tom Mitchell +Gradient descent +Data clustering -Sargur Srihari -Neural network"

Positive matches

• 0.025 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.018 + - Boosting (machine learning)
• 0.017 + - Learning
• 0.015 + - Neuron
• 0.013 + - Regular expression
• 0.011 + - IPython notebook
• 0.010 + - Jupyter/notebook
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Poker
• 0.010 + - Technological unemployment
• 0.010 + - Skill gap
• 0.010 + - Artificial intelligence
• 0.009 + - scikit-learn
• 0.007 + - Artificial neural network
• 0.007 + - Random forest
• 0.007 + - GraphLab
• 0.007 + - One-shot learning

Negative matches

• 0.017 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.007 + - Recurrent neural network
• 0.007 + - Ilya Sutskever
• 0.006 + - Dropout
• 0.006 + - Neural Turing machine
• 0.005 + - Liquid state machine
• 0.005 + - word2vec
• 0.005 + - Graph embedding
• 0.004 + - Gensim
• 0.003 + - Tomas Mikolov
• 0.002 + - Hierarchical softmax
• 0.001 + - Google
• 0.001 + - Natural language processing
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Chris McCormick
• 0.001 + - Paper/Levy2014a
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014
• 0.001 + - Skip-gram