Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Science policy +Policy +Learning -Michael Ramscar +Jupyter/notebook -Poker -Deep learning"

Positive matches

• 0.181 + - Machine learning
• 0.089 + - Class imbalance
• 0.031 + - Public health policy
• 0.025 + - Science
• 0.024 + - Interdisciplinary research
• 0.023 + - IPython notebook
• 0.022 + - Research funding
• 0.021 + - Data clustering
• 0.018 + - Gradient descent
• 0.016 + - How to study
• 0.015 + - Recommender system
• 0.014 + - SSH tunneling
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.012 + - IPython
• 0.010 + - Bookshelf
• 0.009 + - Boosting (machine learning)
• 0.009 + - Future of work
• 0.008 + - Industry-Academic Partnership
• 0.007 + - Programming interview

Negative matches

• 0.020 + - Language
• 0.005 + - LSTM
• 0.005 + - Amazon EC2
• 0.003 + - Attention
• 0.003 + - Probability
• 0.002 + - Residual leanrning
• 0.002 + - Evolution strategy
• 0.002 + - Reinforcement learning
• 0.002 + - Andy Connelly
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Deep learning and graphs
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yann LeCun
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Brain and deep learning
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models