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 +IPython +Ulrike von Luxburg +Machine learning -Deep learning"

Positive matches

• 0.112 + - Class imbalance
• 0.045 + - IPython notebook
• 0.033 + - Netflix prize
• 0.025 + - Python/Modules
• 0.023 + - Gradient descent
• 0.022 + - Python
• 0.021 + - Brain network
• 0.021 + - Poker
• 0.017 + - SSH tunneling
• 0.015 + - Future of work
• 0.013 + - Learning
• 0.013 + - Jupyter
• 0.013 + - Boosting (machine learning)
• 0.009 + - Python/Beautiful soup
• 0.008 + - Regular expression
• 0.008 + - Paradox
• 0.008 + - Privacy and Deanonymization
• 0.008 + - scikit-learn
• 0.008 + - Data science
• 0.006 + - Decision tree

Negative matches

• 0.016 + - Language
• 0.005 + - Amazon EC2
• 0.004 + - Residual leanrning
• 0.004 + - Reinforcement learning
• 0.004 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Evolution strategy
• 0.003 + - Attention
• 0.002 + - Amazon Web Services
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Beer
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.001 + - Probability