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Positive matches

• 0.166 + - Machine learning
• 0.128 + - Science
• 0.089 + - Class imbalance
• 0.088 + - Shell
• 0.086 + - SSH
• 0.044 + - IPython notebook
• 0.038 + - Proxy
• 0.021 + - Ulrike von Luxburg
• 0.021 + - Data clustering
• 0.018 + - Gradient descent
• 0.016 + - IPython
• 0.013 + - Jupyter
• 0.013 + - Recommender system
• 0.010 + - Bookshelf
• 0.009 + - Future of work
• 0.009 + - Paradox
• 0.008 + - Data science
• 0.007 + - Boosting (machine learning)
• 0.007 + - Programming interview
• 0.007 + - Learning

Negative matches

• 0.017 + - Language
• 0.007 + - Amazon EC2
• 0.004 + - Residual leanrning
• 0.004 + - Paper/Hochreiter1997
• 0.003 + - Probability
• 0.003 + - LSTM
• 0.002 + - Evolution strategy
• 0.002 + - Deep generative models
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - word2vec
• 0.002 + - Keras
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Yann LeCun
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial network
• 0.002 + - Generative adversarial networks
• 0.002 + - Beer