Search "+Peter Norvig +Automated machine learning +Paradox +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Poker +Probability +Data science +Ravindran Kannan -Avrim Blum +Computational social science -Artemy Kolchinsky +IPython -Simpson's paradox +Python/Modules -Class imbalance"

Positive matches

• 0.056 + - Machine learning
• 0.051 + - IPython notebook
• 0.029 + - Travelling salesman problem
• 0.026 + - Interdisciplinary research
• 0.025 + - Python
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.021 + - Industry-Academic Partnership
• 0.019 + - Science
• 0.019 + - Big data
• 0.017 + - SSH tunneling
• 0.015 + - Python/Beautiful soup
• 0.014 + - Science policy
• 0.013 + - Sean J. Taylor
• 0.013 + - Online games research
• 0.013 + - Social computing
• 0.012 + - Jupyter
• 0.008 + - Gradient descent
• 0.008 + - Trey Causey
• 0.008 + - Jay Keyser

Negative matches

• 0.028 + - Class imbalance problem
• 0.002 + - Carlos Guestrin
• 0.002 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.002 + - Boosting (machine learning)
• 0.001 + - Training dataset
• 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 + - Dimensionality reduction
• 0.000 + - One-shot learning
• 0.000 + - Machine learning for healthcare
• 0.000 + - Tom M. MItchell
• 0.000 + - Naive Bayes classifier