Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +scikit-learn -Poker +Jupyter -Brain network"

Positive matches

• 0.211 + - Machine learning
• 0.109 + - Class imbalance
• 0.043 + - IPython notebook
• 0.034 + - Polynote
• 0.028 + - IPython
• 0.027 + - Deep learning
• 0.025 + - Gradient descent
• 0.021 + - Recommender system
• 0.019 + - Decision tree
• 0.015 + - Python
• 0.014 + - tfidf
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Random forest
• 0.012 + - SSH tunneling
• 0.011 + - Python/Modules
• 0.011 + - Boosting (machine learning)
• 0.011 + - skorch
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.009 + - Future of work

Negative matches

• 0.013 + - Allen Institute for Brain Science
• 0.011 + - Caenorhabditis elegans
• 0.007 + - C. elegans
• 0.007 + - Brain and deep learning
• 0.007 + - Similarity
• 0.004 + - Paper/Grasby2019genetic
• 0.003 + - Danielle Bassett
• 0.003 + - Dmitri B. Chklovskii
• 0.003 + - Gregory Jefferis
• 0.003 + - Controlling brain dynamics
• 0.003 + - Brain development
• 0.003 + - MRC Laboratory of Molecular Biology
• 0.003 + - Functional magnetic resonance imaging
• 0.003 + - Ed Bullmore
• 0.003 + - Efficiency of brain
• 0.003 + - Santiago Ramón y Cajal
• 0.003 + - Indiana University
• 0.003 + - Brain
• 0.003 + - Olaf Sporns
• 0.003 + - University of Cambridge