Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent -EM algorithm -Ulrike von Luxburg +Paradox +Class imbalance -Deep learning"

Positive matches

• 0.033 + - Neural network
• 0.031 + - Simpson's paradox
• 0.028 + - Neuron
• 0.024 + - Recommender system
• 0.014 + - Boosting (machine learning)
• 0.013 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.011 + - Future of work
• 0.010 + - Learning
• 0.010 + - Poker
• 0.010 + - Regular expression
• 0.010 + - scikit-learn
• 0.010 + - Privacy and Deanonymization
• 0.008 + - Decision tree
• 0.007 + - Regex
• 0.007 + - Random forest
• 0.007 + - Weka
• 0.007 + - Naive Bayes classifier
• 0.007 + - Dimensionality reduction
• 0.006 + - Tom M. MItchell

Negative matches

• 0.015 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Attention
• 0.004 + - Residual leanrning
• 0.004 + - Probability
• 0.003 + - Q-learning
• 0.002 + - Reinforcement learning
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 0.002 + - Deep learning and graphs
• 0.002 + - Natural language processing
• 0.002 + - Yann LeCun
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Autoencoder