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 -Ulrike von Luxburg +Science policy +Policy +Paradox +Simpson's paradox +Data clustering -scikit-learn"

Positive matches

• 0.162 + - Machine learning
• 0.099 + - Class imbalance
• 0.033 + - Public health policy
• 0.027 + - Science
• 0.027 + - Interdisciplinary research
• 0.024 + - Research funding
• 0.020 + - Gradient descent
• 0.016 + - Recommender system
• 0.012 + - IPython notebook
• 0.012 + - Jupyter/notebook
• 0.011 + - Poker
• 0.011 + - Industry-Academic Partnership
• 0.010 + - Bookshelf
• 0.008 + - Boosting (machine learning)
• 0.007 + - Learning
• 0.007 + - Privacy and Deanonymization
• 0.006 + - Programming interview
• 0.006 + - Future of work
• 0.006 + - Deep learning
• 0.006 + - Research advices

Negative matches

• 0.018 + - Decision tree
• 0.014 + - tfidf
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.009 + - Python
• 0.009 + - Lexical feature selection
• 0.008 + - skorch
• 0.008 + - Python/Modules
• 0.006 + - Random forest
• 0.002 + - Text analysis
• 0.002 + - Pointwise mutual information
• 0.001 + - PyPy
• 0.001 + - Gilles Louppe
• 0.001 + - Python in Science
• 0.001 + - Javascript
• 0.001 + - Python/Visualization
• 0.001 + - TensorFlow
• 0.000 + - Atwood's law
• 0.000 + - Stability selection
• 0.000 + - Jeff Atwood