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Positive matches

• 0.048 + - Machine learning
• 0.047 + - IPython notebook
• 0.039 + - Shell
• 0.026 + - Industry-Academic Partnership
• 0.025 + - Interdisciplinary research
• 0.024 + - SSH
• 0.021 + - Proxy
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.018 + - Science
• 0.018 + - Big data
• 0.017 + - Travelling salesman problem
• 0.013 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.012 + - Social computing
• 0.008 + - Gradient descent
• 0.007 + - Science policy
• 0.007 + - John Hopcroft
• 0.007 + - Jay Keyser

Negative matches

• 0.023 + - Class imbalance problem
• 0.001 + - Information theory
• 0.001 + - Boosting (machine learning)
• 0.001 + - Andrew Ng
• 0.001 + - Gilles Louppe
• 0.001 + - Random forest
• 0.000 + - Javascript
• 0.000 + - Cluster analysis
• 0.000 + - Michael I. Jordan
• 0.000 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.000 + - Sargur Srihari
• 0.000 + - Dimensionality reduction
• 0.000 + - Naive Bayes classifier
• 0.000 + - Training dataset
• 0.000 + - Image completion
• 0.000 + - Cross validation
• 0.000 + - EM algorithm
• 0.000 + - One-shot learning
• 0.000 + - Tom M. MItchell
• 0.000 + - Python#Modules_.26_Libraries