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 +Future of work +Jupyter/notebook +Artemy Kolchinsky +Tom Mitchell +scikit-learn -Technological unemployment"

Positive matches

• 0.114 + - Class imbalance
• 0.028 + - Recommender system
• 0.027 + - Gradient descent
• 0.026 + - IPython notebook
• 0.024 + - Decision tree
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.022 + - Poker
• 0.016 + - IPython
• 0.015 + - Random forest
• 0.014 + - Python
• 0.014 + - Jupyter
• 0.013 + - Python/Modules
• 0.012 + - Boosting (machine learning)
• 0.012 + - Privacy and Deanonymization
• 0.012 + - Learning
• 0.012 + - PyTorch
• 0.011 + - Erik Brynjolfsson
• 0.011 + - Artificial intelligence
• 0.011 + - Skill gap

Negative matches

• 0.057 + - Economic network
• 0.021 + - John Maynard Keynes
• 0.021 + - Wassily Leontief
• 0.002 + - Input–output model
• 0.002 + - Eugene Garfield
• 0.001 + - Network
• 0.001 + - Paper/McNerney2018production
• 0.000 + - James McNerney
• 0.000 + - Doyne Farmer
• 0.000 + - Paper
• 0.000 + - Francesco Caravelli
• 0.000 + - Network science
• 0.000 + - Home
• 0.000 + - Charles Savoie
• 0.000 + - Innovation
• 0.000 + - Dynamical system
• 0.000 + - Complex systems
• 0.000 + - Diffusion of innovation
• 0.000 + - Diffusion of innovations
• 0.000 + - Network analysis libraries