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 +Online games research +Sean J. Taylor +Science policy -Class imbalance"

Positive matches

• 0.054 + - Machine learning
• 0.045 + - Interdisciplinary research
• 0.043 + - Science
• 0.033 + - Simpson's paradox
• 0.031 + - IPython notebook
• 0.027 + - Industry-Academic Partnership
• 0.024 + - Policy
• 0.022 + - Research funding
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.021 + - Big data
• 0.017 + - Travelling salesman problem
• 0.015 + - IPython
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Social computing
• 0.013 + - Jupyter
• 0.008 + - Gradient descent
• 0.008 + - Jay Keyser
• 0.008 + - Trey Causey
• 0.008 + - John Hopcroft

Negative matches

• 0.029 + - Class imbalance problem
• 0.002 + - Stability selection
• 0.002 + - Naive Bayes classifier
• 0.002 + - Javascript
• 0.002 + - One-shot learning
• 0.002 + - Random forest
• 0.002 + - Dimensionality reduction
• 0.000 + - Machine learning for physical sciences
• 0.000 + - Machine learning for healthcare
• 0.000 + - Artificial neural network
• 0.000 + - Information theory
• 0.000 + - Boosting (machine learning)
• 0.000 + - Carlos Guestrin
• 0.000 + - GraphLab
• 0.000 + - EM algorithm
• 0.000 + - Tom M. MItchell
• 0.000 + - Cluster analysis
• 0.000 + - Training dataset
• 0.000 + - Michael I. Jordan
• 0.000 + - Python#Modules_.26_Libraries