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 -Trey Causey +Science policy -Artemy Kolchinsky +IPython notebook -Class imbalance"

Positive matches

• 0.090 + - Science
• 0.058 + - Machine learning
• 0.043 + - Interdisciplinary research
• 0.031 + - Simpson's paradox
• 0.031 + - Travelling salesman problem
• 0.026 + - Computational social science
• 0.023 + - IPython
• 0.022 + - Policy
• 0.022 + - SSH tunneling
• 0.021 + - Research funding
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.012 + - Jupyter
• 0.012 + - Python
• 0.009 + - Data
• 0.008 + - Gradient descent
• 0.007 + - Jay Keyser
• 0.007 + - John Hopcroft
• 0.007 + - Big data
• 0.006 + - Python/Beautiful soup

Negative matches

• 0.028 + - Class imbalance problem
• 0.002 + - Training dataset
• 0.002 + - Carlos Guestrin
• 0.002 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.002 + - scikit-learn
• 0.002 + - Boosting (machine learning)
• 0.001 + - Tim Hopper
• 0.001 + - Rob Schapire
• 0.001 + - Generative adversarial network
• 0.000 + - Python#Modules_.26_Libraries
• 0.000 + - EM algorithm
• 0.000 + - Cross validation
• 0.000 + - Stability selection
• 0.000 + - Cluster analysis
• 0.000 + - Sargur Srihari
• 0.000 + - Michael I. Jordan
• 0.000 + - Random forest
• 0.000 + - Dimensionality reduction
• 0.000 + - One-shot learning
• 0.000 + - Machine learning for healthcare