Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences -Weka +Sargur Srihari +Recommender system -Deep learning"

Positive matches

• 0.035 + - Netflix prize
• 0.026 + - Probability
• 0.024 + - Paradox
• 0.019 + - Gradient descent
• 0.018 + - Pajek
• 0.013 + - IPython notebook
• 0.013 + - Jupyter/notebook
• 0.012 + - Boosting (machine learning)
• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.011 + - Future of work
• 0.011 + - Learning
• 0.009 + - scikit-learn
• 0.008 + - Privacy and Deanonymization
• 0.007 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.007 + - Python#Modules_.26_Libraries
• 0.007 + - Image completion
• 0.007 + - Cross validation
• 0.007 + - EM algorithm
• 0.007 + - Machine learning for healthcare
• 0.007 + - Training dataset

Negative matches

• 0.021 + - Language
• 0.008 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.005 + - Reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - RNN
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Brain and deep learning
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton