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 +Learning +Privacy and Deanonymization -Deep learning"

Positive matches

• 0.255 + - Machine learning
• 0.120 + - Class imbalance
• 0.061 + - Pathogen transmission
• 0.033 + - Netflix prize
• 0.025 + - Gradient descent
• 0.024 + - IPython notebook
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Brain network
• 0.021 + - Poker
• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.013 + - Boosting (machine learning)
• 0.012 + - Future of work
• 0.008 + - scikit-learn
• 0.007 + - Network alignment
• 0.007 + - Spatial network
• 0.007 + - SSH tunneling
• 0.007 + - Graph matching

Negative matches

• 0.020 + - Language
• 0.008 + - Reinforcement learning
• 0.005 + - Residual leanrning
• 0.004 + - Amazon EC2
• 0.003 + - Archetype
• 0.002 + - Q-learning
• 0.002 + - Cecilia Mascolo
• 0.002 + - Machine translation
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)