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 +Gradient descent -EM algorithm -Ulrike von Luxburg -Neuron"

Positive matches

• 0.123 + - Class imbalance
• 0.031 + - Recommender system
• 0.015 + - Learning
• 0.014 + - IPython notebook
• 0.014 + - Boosting (machine learning)
• 0.014 + - scikit-learn
• 0.013 + - Jupyter/notebook
• 0.012 + - Poker
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Future of work
• 0.008 + - Regex
• 0.007 + - Artificial neural network
• 0.006 + - Random forest
• 0.006 + - Decision tree
• 0.006 + - Regular expression
• 0.006 + - Computer science
• 0.006 + - Sargur Srihari
• 0.005 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.005 + - Deep learning
• 0.005 + - Michael I. Jordan

Negative matches

• 0.033 + - Neural network
• 0.001 + - Probability
• 0.001 + - Gender bias
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Levy2014a
• 0.001 + - Natural language processing
• 0.001 + - GloVe
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Long short-term memory
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Google
• 0.001 + - Chris McCormick
• 0.000 + - Christopher D. Manning
• 0.000 + - Rami Al-Rfou
• 0.000 + - Ivo Danihelka
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Paper