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 +Future of work +Jupyter/notebook -Artemy Kolchinsky -Tom Mitchell +Recommender system +Poker -Gradient descent"

Positive matches

• 0.115 + - Class imbalance
• 0.033 + - Netflix prize
• 0.024 + - IPython notebook
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.017 + - Learning
• 0.015 + - IPython
• 0.014 + - Boosting (machine learning)
• 0.013 + - Jupyter
• 0.013 + - SSH tunneling
• 0.011 + - scikit-learn
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Regular expression
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Technological unemployment
• 0.010 + - Artificial intelligence
• 0.010 + - Skill gap
• 0.008 + - Regex
• 0.008 + - Artificial neural network
• 0.007 + - Paradox

Negative matches

• 0.030 + - Neural network
• 0.028 + - Neuron
• 0.002 + - Probability
• 0.002 + - Recurrent neural network
• 0.001 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - word2vec
• 0.001 + - Liquid state machine
• 0.001 + - Paper/Srivastava2014
• 0.001 + - Wolfgang Maass
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Graves2014NTM