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 +Boosting (machine learning) +Ron Meir -Andrew Ng +scikit-learn +Recommender system -Deep learning"

Positive matches

• 0.215 + - Machine learning
• 0.131 + - Class imbalance
• 0.033 + - Netflix prize
• 0.029 + - Gradient descent
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Brain network
• 0.020 + - Decision tree
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.015 + - Random forest
• 0.014 + - Future of work
• 0.013 + - Learning
• 0.012 + - Python/Modules
• 0.012 + - tfidf
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Privacy and Deanonymization
• 0.011 + - skorch
• 0.010 + - Python
• 0.010 + - IPython notebook

Negative matches

• 0.024 + - Language
• 0.009 + - Residual leanrning
• 0.004 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.003 + - RNN
• 0.002 + - Cecilia Mascolo
• 0.002 + - Q-learning
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Generative adversarial networks
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Neural doodle