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 +Boosting (machine learning) +Python +Python/Modules -Machine learning"

Positive matches

• 0.024 + - Gradient descent
• 0.021 + - Decision tree
• 0.021 + - Pajek
• 0.021 + - Data clustering
• 0.019 + - Recommender system
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.015 + - Ron Meir
• 0.015 + - Random forest
• 0.015 + - tfidf
• 0.014 + - skorch
• 0.012 + - IPython notebook
• 0.012 + - Jupyter/notebook
• 0.011 + - Poker
• 0.010 + - Bookshelf
• 0.010 + - Python/Beautiful soup
• 0.010 + - Tim Hopper
• 0.008 + - Interdisciplinary research
• 0.008 + - Deep learning
• 0.008 + - tf-idf

Negative matches

• 0.002 + - Cross entropy
• 0.002 + - PCA
• 0.002 + - CoffeeScript
• 0.002 + - Jeff Atwood
• 0.002 + - jQuery
• 0.002 + - Netflix prize
• 0.002 + - D3
• 0.002 + - David MacKay
• 0.002 + - Yoshua Bengio
• 0.002 + - Isomap
• 0.001 + - Deep learning and graphs
• 0.001 + - Deep generative models
• 0.001 + - word2vec
• 0.001 + - t-SNE
• 0.001 + - Brain and deep learning
• 0.001 + - Graph matching
• 0.001 + - Atwood's law
• 0.001 + - Differentiable neural computers
• 0.001 + - Generative adversarial network
• 0.001 + - Recurrent neural network