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Positive matches

• 0.191 + - Machine learning
• 0.028 + - Public health policy
• 0.024 + - Science
• 0.023 + - Interdisciplinary research
• 0.021 + - Research funding
• 0.019 + - Data clustering
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.019 + - Jupyter/notebook
• 0.018 + - Gradient descent
• 0.015 + - How to study
• 0.014 + - Michael Ramscar
• 0.013 + - Recommender system
• 0.013 + - Bookshelf
• 0.013 + - Boosting (machine learning)
• 0.011 + - Data science
• 0.010 + - SSH tunneling
• 0.010 + - IPython
• 0.009 + - Python
• 0.009 + - Industry-Academic Partnership

Negative matches

• 0.018 + - Language
• 0.005 + - Residual leanrning
• 0.004 + - Amazon EC2
• 0.003 + - Reinforcement learning
• 0.002 + - LSTM
• 0.002 + - Evolution strategy
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Deep generative models
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Deep learning and graphs
• 0.002 + - Theano
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - word2vec
• 0.002 + - Generative adversarial networks
• 0.002 + - Autoencoder
• 0.002 + - Brain and deep learning
• 0.002 + - Paper/Gatys2015
• 0.002 + - Convolutional neural network
• 0.002 + - Marc'Aurelio Ranzato