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) +scikit-learn +IPython -Neural network"

Positive matches

• 0.264 + - Machine learning
• 0.119 + - Class imbalance
• 0.050 + - IPython notebook
• 0.035 + - Python
• 0.035 + - Python/Modules
• 0.030 + - Poker
• 0.028 + - Decision tree
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.019 + - Recommender system
• 0.019 + - Neuron
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - Rob Schapire
• 0.016 + - Artemy Kolchinsky
• 0.016 + - tfidf
• 0.016 + - Random forest
• 0.015 + - Jupyter
• 0.013 + - tf-idf
• 0.012 + - SSH tunneling

Negative matches

• 0.021 + - Paper/Srivastava2014
• 0.009 + - word2vec
• 0.008 + - Neural Turing machine
• 0.007 + - Ilya Sutskever
• 0.007 + - Jack Terwilliger
• 0.006 + - Recurrent neural network
• 0.006 + - Graph embedding
• 0.005 + - Liquid state machine
• 0.005 + - Dropout
• 0.003 + - Hierarchical softmax
• 0.003 + - Gensim
• 0.003 + - sense2vec
• 0.002 + - TensorFlow
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Gender bias
• 0.002 + - Chris McCormick
• 0.002 + - Wolfgang Maass
• 0.002 + - Google
• 0.002 + - Paper/Levy2014a
• 0.002 + - Clinical concept embedding