Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science +Jupyter/notebook +Gradient descent +Boosting (machine learning) -Recommender system -Paradox -Neural network"

Positive matches

• 0.208 + - Machine learning
• 0.102 + - Class imbalance
• 0.026 + - IPython notebook
• 0.026 + - Neuron
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.021 + - Poker
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.014 + - IPython
• 0.012 + - SSH tunneling
• 0.011 + - Interdisciplinary research
• 0.010 + - Learning
• 0.009 + - Bookshelf
• 0.008 + - Programming interview
• 0.008 + - Privacy and Deanonymization
• 0.007 + - scikit-learn

Negative matches

• 0.036 + - Simpson's paradox
• 0.036 + - Netflix prize
• 0.020 + - Paper/Srivastava2014
• 0.009 + - Liquid state machine
• 0.009 + - word2vec
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.007 + - Ilya Sutskever
• 0.006 + - Recurrent neural network
• 0.006 + - Graph embedding
• 0.005 + - Dropout
• 0.004 + - Hierarchical softmax
• 0.004 + - sense2vec
• 0.003 + - WordRank
• 0.002 + - Wolfgang Maass
• 0.002 + - Google
• 0.002 + - Paper/Levy2014
• 0.002 + - Continuous embedding
• 0.002 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016