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Positive matches

• 0.212 + - Machine learning
• 0.025 + - Gradient descent
• 0.024 + - Data clustering
• 0.020 + - Recommender system
• 0.020 + - Decision tree
• 0.019 + - tfidf
• 0.013 + - IPython notebook
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• 0.007 + - Privacy and Deanonymization
• 0.007 + - Future of work
• 0.006 + - Artificial neural network

Negative matches

• 0.018 + - Michael Ramscar
• 0.017 + - How to study
• 0.013 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
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• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Practice
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• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Yoshua Bengio
• 0.002 + - Autoencoder
• 0.002 + - Generative adversarial network
• 0.002 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.000 + - Artemy Kolchinsky
• 0.000 + - Jupyter
• 0.000 + - Python#Modules_.26_Libraries