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 +Ulrike von Luxburg +Jupyter/notebook +Paradox +IPython +Probability +Learning +How to study -Michael Ramscar -Deep learning"

Positive matches

• 0.185 + - Machine learning
• 0.093 + - Class imbalance
• 0.040 + - IPython notebook
• 0.028 + - Simpson's paradox
• 0.022 + - Gradient descent
• 0.019 + - Poker
• 0.019 + - Python
• 0.019 + - Brain network
• 0.019 + - Python/Modules
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.015 + - Recommender system
• 0.012 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.010 + - Boosting (machine learning)
• 0.010 + - SSH tunneling
• 0.010 + - Research advices
• 0.009 + - Jonah Lehrer
• 0.009 + - 유재명
• 0.008 + - Willpower

Negative matches

• 0.013 + - Language
• 0.006 + - Residual leanrning
• 0.004 + - 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 + - Long short-term memory
• 0.002 + - Autoencoder
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Recurrent neural network
• 0.001 + - Q-learning
• 0.001 + - Molecular dyanmics
• 0.001 + - Dropout