Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Jupyter/notebook -Artemy Kolchinsky +Recommender system +Netflix prize +Boosting (machine learning) -Rob Schapire +Gradient descent -Deep learning"

Positive matches

• 0.250 + - Machine learning
• 0.122 + - Class imbalance
• 0.031 + - Neural network
• 0.024 + - Neuron
• 0.020 + - IPython notebook
• 0.020 + - Ulrike von Luxburg
• 0.020 + - Brain network
• 0.019 + - Learning
• 0.016 + - Poker
• 0.015 + - Ron Meir
• 0.015 + - Yoav Freund
• 0.013 + - IPython
• 0.012 + - Jupyter
• 0.007 + - Aging brain
• 0.007 + - Regular expression
• 0.007 + - Probability
• 0.007 + - Privacy and Deanonymization
• 0.006 + - Future of work
• 0.006 + - scikit-learn
• 0.006 + - Tom M. MItchell

Negative matches

• 0.014 + - Language
• 0.007 + - Residual leanrning
• 0.006 + - Paper/Hochreiter1997
• 0.003 + - Evolution strategy
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Amazon EC2
• 0.002 + - Archetype
• 0.002 + - Reinforcement learning
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Autoencoder
• 0.002 + - Paper/Gatys2015
• 0.002 + - Jürgen Schmidhuber
• 0.001 + - Q-learning
• 0.001 + - Dropout
• 0.001 + - Keras
• 0.001 + - Machine translation