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 -Paradox +Python/Modules -Machine learning"

Positive matches

• 0.023 + - Gradient descent
• 0.022 + - Data clustering
• 0.020 + - Recommender system
• 0.020 + - Decision tree
• 0.019 + - tfidf
• 0.014 + - Python
• 0.013 + - Random forest
• 0.013 + - IPython notebook
• 0.012 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Interdisciplinary research
• 0.011 + - skorch
• 0.010 + - tf-idf
• 0.010 + - Tim Hopper
• 0.010 + - Boosting (machine learning)
• 0.009 + - Bookshelf
• 0.009 + - Python/Beautiful soup
• 0.009 + - Learning
• 0.008 + - Programming interview
• 0.006 + - Python/Sphinx

Negative matches

• 0.036 + - Simpson's paradox
• 0.002 + - jQuery
• 0.002 + - Ron Meir
• 0.002 + - CoffeeScript
• 0.002 + - Netflix prize
• 0.002 + - Leland McInnes
• 0.002 + - Rob Schapire
• 0.002 + - Yoav Freund
• 0.002 + - David Feldman
• 0.002 + - Deep generative models
• 0.002 + - Convolutional neural network
• 0.002 + - Cross entropy
• 0.002 + - Thermostat
• 0.002 + - TensorFlow
• 0.002 + - Autoencoder
• 0.002 + - word2vec
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Isomap
• 0.002 + - LargeVis
• 0.002 + - David MacKay