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 +Gradient descent +Neuron -IPython"

Positive matches

• 0.115 + - Class imbalance
• 0.102 + - Neural network
• 0.028 + - Recommender system
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.018 + - Poker
• 0.014 + - Jupyter
• 0.013 + - Boosting (machine learning)
• 0.012 + - Privacy and Deanonymization
• 0.012 + - Learning
• 0.012 + - scikit-learn
• 0.011 + - Erik Brynjolfsson
• 0.011 + - Tom Mitchell
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.011 + - Artificial intelligence
• 0.009 + - Deep learning
• 0.008 + - Decision tree
• 0.008 + - Regular expression
• 0.008 + - Sargur Srihari

Negative matches

• 0.019 + - Python/Modules
• 0.016 + - Python
• 0.003 + - Python/Bokeh
• 0.002 + - Python/doit
• 0.002 + - Python/Beautiful soup
• 0.002 + - Progress bar
• 0.002 + - Python/Style
• 0.001 + - Python/Vincent
• 0.001 + - Python/Visualization
• 0.001 + - Pajek
• 0.001 + - Beautiful soup (Python)
• 0.001 + - Python/Blaze
• 0.001 + - Python/pandas
• 0.001 + - Python/Debugging
• 0.001 + - Python/patsy
• 0.001 + - Data
• 0.001 + - Python/statsmodels
• 0.001 + - Slopegraph
• 0.001 + - Python/Pandas
• 0.000 + - Vim