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 +IPython notebook +Artemy Kolchinsky +Data science +Poker -scikit-learn"

Positive matches

• 0.104 + - Class imbalance
• 0.028 + - Computational social science
• 0.025 + - IPython
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Recommender system
• 0.021 + - Gradient descent
• 0.020 + - SSH tunneling
• 0.014 + - Jupyter
• 0.012 + - Learning
• 0.011 + - Boosting (machine learning)
• 0.011 + - Future of work
• 0.010 + - Regular expression
• 0.010 + - Industry-Academic Partnership
• 0.009 + - Data
• 0.008 + - Privacy and Deanonymization
• 0.007 + - Regex
• 0.007 + - Interdisciplinary research
• 0.007 + - Jay Keyser
• 0.007 + - Avrim Blum
• 0.007 + - John Hopcroft

Negative matches

• 0.014 + - tfidf
• 0.013 + - Decision tree
• 0.008 + - tf-idf
• 0.007 + - Tim Hopper
• 0.007 + - skorch
• 0.005 + - Random forest
• 0.004 + - Lexical feature selection
• 0.004 + - Python/Modules
• 0.003 + - Probability
• 0.001 + - David Goodger
• 0.001 + - Pointwise mutual information
• 0.001 + - Gilles Louppe
• 0.001 + - Python vs. R
• 0.001 + - PyTorch-BigGraph
• 0.001 + - Ben Fry
• 0.001 + - Text analysis
• 0.001 + - Python/Packaging
• 0.001 + - NLP
• 0.000 + - Information visualization
• 0.000 + - CPython