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 -EM algorithm -Ulrike von Luxburg +Jupyter/notebook +Regex -Neural network"

Positive matches

• 0.105 + - Class imbalance
• 0.071 + - Regular expression
• 0.025 + - Recommender system
• 0.023 + - IPython notebook
• 0.022 + - Neuron
• 0.016 + - Poker
• 0.013 + - SSH tunneling
• 0.013 + - Artemy Kolchinsky
• 0.013 + - IPython
• 0.013 + - Learning
• 0.013 + - Jupyter
• 0.011 + - Future of work
• 0.011 + - Boosting (machine learning)
• 0.010 + - Privacy and Deanonymization
• 0.008 + - scikit-learn
• 0.007 + - Random forest
• 0.007 + - Paradox
• 0.006 + - Decision tree
• 0.006 + - Naive Bayes classifier
• 0.006 + - Dimensionality reduction

Negative matches

• 0.020 + - Paper/Srivastava2014
• 0.007 + - Ilya Sutskever
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.006 + - Recurrent neural network
• 0.006 + - Liquid state machine
• 0.005 + - word2vec
• 0.005 + - Dropout
• 0.003 + - Hierarchical softmax
• 0.003 + - Graph embedding
• 0.003 + - Probability
• 0.002 + - wiki2vec
• 0.002 + - Skip-gram
• 0.002 + - Gensim
• 0.002 + - sense2vec
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Google
• 0.001 + - WordRank
• 0.001 + - GloVe
• 0.001 + - Natural language processing