Search "+Peter Norvig +Automated machine learning +Paradox +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Poker +Probability +Data science +Ravindran Kannan -Avrim Blum +Industry-Academic Partnership -Travelling salesman problem +John Hopcroft +Data +Science -Trey Causey -Machine learning"

Positive matches

• 0.029 + - Simpson's paradox
• 0.028 + - IPython notebook
• 0.026 + - Interdisciplinary research
• 0.025 + - Computational social science
• 0.024 + - Policy
• 0.020 + - Probability distribution
• 0.020 + - Probability theory
• 0.015 + - The Dataverse Network
• 0.015 + - Public datasets
• 0.015 + - MapReduce
• 0.012 + - Artemy Kolchinsky
• 0.012 + - IPython
• 0.011 + - Jupyter
• 0.011 + - Class imbalance
• 0.008 + - Jay Keyser
• 0.007 + - Software engineering
• 0.007 + - SSH tunneling
• 0.007 + - Big data
• 0.006 + - Science policy
• 0.006 + - Gradient descent

Negative matches

• 0.011 + - Class imbalance problem
• 0.005 + - Regex
• 0.003 + - tf-idf
• 0.002 + - Neural network
• 0.002 + - Link prediction
• 0.001 + - Information theory
• 0.001 + - Python/Modules
• 0.001 + - Machine learning for physical sciences
• 0.001 + - Boosting (machine learning)
• 0.001 + - Andrew Ng
• 0.001 + - Brain and deep learning
• 0.001 + - Yoav Freund
• 0.001 + - D3
• 0.001 + - Netflix prize
• 0.001 + - Gilles Louppe
• 0.001 + - Meta learning
• 0.001 + - Decision tree
• 0.001 + - t-SNE
• 0.001 + - David Feldman
• 0.001 + - Deep learning and graphs