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Positive matches

• 0.102 + - Proxy
• 0.056 + - IPython notebook
• 0.055 + - Machine learning
• 0.033 + - Simpson's paradox
• 0.029 + - Computational social science
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.019 + - Travelling salesman problem
• 0.018 + - IPython
• 0.017 + - Mosh
• 0.016 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Industry-Academic Partnership
• 0.008 + - Gradient descent
• 0.008 + - Interdisciplinary research
• 0.008 + - Big data
• 0.008 + - Science policy
• 0.007 + - Jay Keyser
• 0.007 + - Trey Causey
• 0.007 + - Data

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 + - Artificial neural network
• 0.000 + - Information theory
• 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
• 0.000 + - Decision tree
• 0.000 + - Cross validation