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 +Future of work +Jupyter/notebook -Artemy Kolchinsky +Gradient descent +Boosting (machine learning) +Learning -Deep learning"

Positive matches

• 0.115 + - Class imbalance
• 0.033 + - Neural network
• 0.028 + - Neuron
• 0.027 + - Recommender system
• 0.023 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.022 + - IPython notebook
• 0.018 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Poker
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.016 + - Rob Schapire
• 0.014 + - IPython
• 0.013 + - Jupyter
• 0.012 + - Regular expression
• 0.012 + - scikit-learn
• 0.011 + - Privacy and Deanonymization
• 0.011 + - Decision tree
• 0.010 + - Erik Brynjolfsson

Negative matches

• 0.016 + - Language
• 0.005 + - Amazon EC2
• 0.005 + - Attention
• 0.004 + - Reinforcement learning
• 0.003 + - Probability
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - Residual leanrning
• 0.002 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - Deep learning and graphs
• 0.002 + - Natural language processing
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Geoffrey Hinton
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Beer