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) -Data clustering +Recommender system +Decision tree -Learning"

Positive matches

• 0.263 + - Machine learning
• 0.044 + - Random forest
• 0.033 + - Gradient descent
• 0.031 + - Netflix prize
• 0.016 + - Rob Schapire
• 0.016 + - Future of work
• 0.016 + - Ron Meir
• 0.016 + - Yoav Freund
• 0.014 + - PyTorch
• 0.013 + - Python/Modules
• 0.011 + - tfidf
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.010 + - IPython notebook
• 0.010 + - Regular expression
• 0.010 + - skorch
• 0.010 + - Python
• 0.010 + - Bookshelf
• 0.010 + - Tim Hopper

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.010 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - Keras
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - word2vec
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.001 + - Autoencoder
• 0.001 + - Paper/Vincent2010