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 +Python/Modules +Gradient descent -Python"

Positive matches

• 0.103 + - Class imbalance
• 0.072 + - Regular expression
• 0.034 + - Neural network
• 0.031 + - Neuron
• 0.024 + - Decision tree
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.023 + - IPython notebook
• 0.021 + - Recommender system
• 0.016 + - IPython
• 0.014 + - tfidf
• 0.013 + - Random forest
• 0.013 + - Jupyter
• 0.013 + - Artemy Kolchinsky
• 0.011 + - tf-idf
• 0.011 + - Tim Hopper
• 0.011 + - Boosting (machine learning)
• 0.010 + - Future of work
• 0.010 + - Deep learning
• 0.009 + - Learning

Negative matches

• 0.013 + - Pajek
• 0.005 + - Distributed computing
• 0.004 + - Choropleth
• 0.004 + - Cartogram
• 0.003 + - Geovisualization
• 0.003 + - Data frame
• 0.003 + - Snakemake
• 0.002 + - Command-line interface
• 0.001 + - Pandas (Python)
• 0.001 + - Scientific computing
• 0.001 + - Python vs. R
• 0.001 + - Graph visualization
• 0.001 + - Python/pandas
• 0.001 + - CPython
• 0.001 + - Geocoding
• 0.001 + - Global Interpreter Lock
• 0.001 + - David Goodger
• 0.001 + - Python3
• 0.001 + - programming language
• 0.001 + - Pipenv