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 +Jupyter/notebook -Artemy Kolchinsky +Boosting (machine learning) +Ulrike von Luxburg +scikit-learn +IPython -Brain network"

Positive matches

• 0.216 + - Machine learning
• 0.116 + - Class imbalance
• 0.043 + - IPython notebook
• 0.033 + - Python/Modules
• 0.030 + - Python
• 0.024 + - Gradient descent
• 0.023 + - Deep learning
• 0.021 + - Poker
• 0.021 + - Decision tree
• 0.020 + - Recommender system
• 0.016 + - Ron Meir
• 0.016 + - Yoav Freund
• 0.016 + - Rob Schapire
• 0.014 + - SSH tunneling
• 0.013 + - Jupyter
• 0.012 + - tfidf
• 0.012 + - Random forest
• 0.011 + - Learning
• 0.011 + - Future of work
• 0.010 + - skorch

Negative matches

• 0.012 + - Allen Institute for Brain Science
• 0.012 + - Caenorhabditis elegans
• 0.010 + - Similarity
• 0.009 + - C. elegans
• 0.003 + - Probability
• 0.003 + - Danielle Bassett
• 0.003 + - Dmitri B. Chklovskii
• 0.003 + - Gregory Jefferis
• 0.003 + - Controlling brain dynamics
• 0.003 + - Brain
• 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 + - Multilayer network
• 0.003 + - Indiana University
• 0.003 + - Olaf Sporns
• 0.003 + - Santiago Ramón y Cajal
• 0.003 + - University of Cambridge