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 -Poker +Jupyter/notebook +Regex +scikit-learn +skorch -Artemy Kolchinsky -Python"

Positive matches

• 0.102 + - Class imbalance
• 0.073 + - Regular expression
• 0.042 + - PyTorch
• 0.029 + - Decision tree
• 0.024 + - Gradient descent
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.022 + - tfidf
• 0.021 + - IPython notebook
• 0.021 + - tf-idf
• 0.020 + - Recommender system
• 0.015 + - IPython
• 0.015 + - Random forest
• 0.014 + - Python/Modules
• 0.013 + - Jupyter
• 0.013 + - Tim Hopper
• 0.013 + - Lexical feature selection
• 0.011 + - Future of work
• 0.011 + - Boosting (machine learning)
• 0.009 + - Learning

Negative matches

• 0.017 + - Pajek
• 0.005 + - Cartogram
• 0.005 + - Geovisualization
• 0.005 + - Distributed computing
• 0.004 + - Choropleth
• 0.004 + - Snakemake
• 0.003 + - Pandas (Python)
• 0.002 + - Command-line interface
• 0.002 + - GNU Make
• 0.002 + - Slope
• 0.002 + - Selenium (software)
• 0.001 + - Python/Sphinx
• 0.001 + - Python vs. R
• 0.001 + - Graph visualization
• 0.001 + - Python/Debugging
• 0.001 + - Python/pandas
• 0.001 + - Slopegraph
• 0.001 + - CPython
• 0.001 + - Geocoding
• 0.001 + - Python/patsy