Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science +Jupyter/notebook +Gradient descent +Boosting (machine learning) +Neural network +Paper/Srivastava2014 -Ulrike von Luxburg -Recurrent neural network"

Positive matches

• 0.227 + - Machine learning
• 0.111 + - Class imbalance
• 0.034 + - Neuron
• 0.024 + - IPython notebook
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• 0.022 + - Data clustering
• 0.018 + - Ilya Sutskever
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• 0.017 + - Yoav Freund
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• 0.016 + - IPython
• 0.015 + - Dropout
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• 0.011 + - Bookshelf
• 0.010 + - Jack Terwilliger
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• 0.010 + - Nitish Srivastava
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Negative matches

• 0.008 + - Musical composition
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• 0.007 + - Attention
• 0.007 + - Tomas Mikolov
• 0.006 + - Long short-term memory
• 0.006 + - Computational creativity
• 0.006 + - Attention (Deep learning)
• 0.003 + - Natural language processing
• 0.002 + - Lexical feature selection
• 0.002 + - Differentiable neural computers
• 0.002 + - LSTM
• 0.002 + - Kyunghyun Cho
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Brain and deep learning
• 0.002 + - Sentence embedding
• 0.001 + - Language
• 0.001 + - Paper/Hochreiter1997
• 0.001 + - Paper/Bahdanau2015
• 0.001 + - Deep generative models
• 0.001 + - CNN