Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Jupyter/notebook +Poker -Class imbalance +Neural network -Paper/Srivastava2014"

Positive matches

• 0.035 + - Gradient descent
• 0.025 + - Recommender system
• 0.025 + - IPython notebook
• 0.024 + - Ulrike von Luxburg
• 0.015 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.013 + - Learning
• 0.013 + - Privacy and Deanonymization
• 0.012 + - scikit-learn
• 0.009 + - Neuron
• 0.009 + - Future of work
• 0.009 + - Boosting (machine learning)
• 0.009 + - Data science
• 0.008 + - Neural Turing machine
• 0.008 + - Liquid state machine
• 0.008 + - Regular expression
• 0.008 + - Regex
• 0.007 + - Recurrent neural network
• 0.007 + - Jack Terwilliger

Negative matches

• 0.010 + - Ruslan Salakhutdinov
• 0.010 + - Alex Krizhevsky
• 0.010 + - Nitish Srivastava
• 0.010 + - Geoffrey Hinton
• 0.009 + - Paper
• 0.004 + - Dropout
• 0.001 + - Ilya Sutskever
• 0.000 + - Gender bias
• 0.000 + - Paper/Perozzi2014
• 0.000 + - GloVe
• 0.000 + - Paper/Hamilton2016
• 0.000 + - Chris McCormick
• 0.000 + - Paper/Levy2014a
• 0.000 + - Clinical concept embedding
• 0.000 + - Google
• 0.000 + - Paper/Bahdanau2015