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Positive matches

• 0.231 + - Machine learning
• 0.112 + - Class imbalance
• 0.057 + - Economic network
• 0.033 + - Netflix prize
• 0.024 + - Wassily Leontief
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• 0.023 + - Gradient descent
• 0.022 + - Data clustering
• 0.018 + - How to study
• 0.017 + - Michael Ramscar
• 0.014 + - IPython notebook
• 0.012 + - Jupyter/notebook
• 0.012 + - Boosting (machine learning)
• 0.011 + - Erik Brynjolfsson
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• 0.011 + - Artificial intelligence
• 0.011 + - Skill gap
• 0.010 + - Bookshelf
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Interdisciplinary research

Negative matches

• 0.019 + - Language
• 0.007 + - Reinforcement learning
• 0.006 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.002 + - Archetype
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - LSTM
• 0.002 + - Q-learning
• 0.002 + - Cecilia Mascolo
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Deep learning and graphs
• 0.002 + - Theano
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Yann LeCun
• 0.002 + - Quoc Le
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Paper/Gatys2015