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 -Ulrike von Luxburg +Class imbalance +scikit-learn +Gradient descent -Recommender system +Bookshelf -Neural network"

Positive matches

• 0.213 + - Machine learning
• 0.036 + - Books
• 0.033 + - Home
• 0.025 + - Decision tree
• 0.023 + - Data clustering
• 0.018 + - Neuron
• 0.014 + - Random forest
• 0.014 + - tfidf
• 0.013 + - IPython notebook
• 0.012 + - tf-idf
• 0.012 + - Boosting (machine learning)
• 0.011 + - Poker
• 0.011 + - Lexical feature selection
• 0.010 + - Jupyter/notebook
• 0.010 + - skorch
• 0.010 + - Tim Hopper
• 0.010 + - Python
• 0.009 + - Learning
• 0.009 + - Python/Modules
• 0.007 + - Privacy and Deanonymization

Negative matches

• 0.033 + - Netflix prize
• 0.017 + - Paper/Srivastava2014
• 0.008 + - word2vec
• 0.007 + - Neural Turing machine
• 0.007 + - Jack Terwilliger
• 0.007 + - Ilya Sutskever
• 0.006 + - Recurrent neural network
• 0.005 + - Graph embedding
• 0.005 + - Dropout
• 0.003 + - Hierarchical softmax
• 0.003 + - sense2vec
• 0.003 + - Liquid state machine
• 0.002 + - WordRank
• 0.002 + - Paper/Levy2014
• 0.002 + - Gensim
• 0.002 + - Tomas Mikolov
• 0.002 + - Wolfgang Maass
• 0.002 + - Paper/Graves2014NTM
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Google