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 -Poker -Tim Hopper -Learning +Python"

Positive matches

• 0.206 + - Machine learning
• 0.024 + - Decision tree
• 0.022 + - Data clustering
• 0.022 + - Gradient descent
• 0.019 + - Recommender system
• 0.016 + - Pajek
• 0.015 + - Random forest
• 0.015 + - tfidf
• 0.013 + - skorch
• 0.013 + - Python/Modules
• 0.012 + - IPython notebook
• 0.010 + - Jupyter/notebook
• 0.010 + - Bookshelf
• 0.010 + - tf-idf
• 0.009 + - Boosting (machine learning)
• 0.009 + - Lexical feature selection
• 0.009 + - Interdisciplinary research
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Distributed computing
• 0.006 + - Programming interview

Negative matches

• 0.017 + - Michael Ramscar
• 0.016 + - How to study
• 0.007 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - word2vec
• 0.002 + - Keras
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Generative adversarial network
• 0.002 + - Autoencoder
• 0.002 + - Memorization
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.000 + - Jupyter