Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Future of work +Erik Brynjolfsson -Recommender system +scikit-learn -Technological unemployment"

Positive matches

• 0.170 + - Machine learning
• 0.093 + - Class imbalance
• 0.026 + - Decision tree
• 0.025 + - Data clustering
• 0.017 + - Gradient descent
• 0.015 + - tfidf
• 0.015 + - Random forest
• 0.014 + - Bookshelf
• 0.013 + - tf-idf
• 0.013 + - IPython notebook
• 0.012 + - Tom Mitchell
• 0.012 + - Artificial intelligence
• 0.012 + - Poker
• 0.012 + - Skill gap
• 0.012 + - Boosting (machine learning)
• 0.011 + - Jupyter/notebook
• 0.010 + - skorch
• 0.010 + - Tim Hopper
• 0.010 + - Python
• 0.010 + - Lexical feature selection

Negative matches

• 0.058 + - Economic network
• 0.036 + - Netflix prize
• 0.024 + - Wassily Leontief
• 0.022 + - John Maynard Keynes
• 0.004 + - Input–output model
• 0.002 + - Javascript
• 0.002 + - Eugene Garfield
• 0.001 + - Network science
• 0.001 + - Paper/McNerney2018production
• 0.001 + - Network
• 0.001 + - Machine learning for healthcare
• 0.000 + - Francesco Caravelli
• 0.000 + - Paper
• 0.000 + - Probability
• 0.000 + - James McNerney
• 0.000 + - Charles Savoie
• 0.000 + - Doyne Farmer
• 0.000 + - Home
• 0.000 + - Innovation
• 0.000 + - Dynamical system