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 +Skill gap -Technological unemployment"

Positive matches

• 0.160 + - Machine learning
• 0.092 + - Class imbalance
• 0.024 + - Data clustering
• 0.021 + - Gradient descent
• 0.014 + - Andrew Weaver
• 0.014 + - Peter Cappelli
• 0.013 + - Jupyter/notebook
• 0.012 + - James Bessen
• 0.012 + - Tom Mitchell
• 0.012 + - Artificial intelligence
• 0.012 + - Poker
• 0.012 + - Heidi Shierholz
• 0.012 + - Paul Krugman
• 0.012 + - IPython notebook
• 0.011 + - Interdisciplinary research
• 0.010 + - Boosting (machine learning)
• 0.009 + - Bookshelf
• 0.009 + - Learning
• 0.008 + - Programming interview
• 0.006 + - scikit-learn

Negative matches

• 0.057 + - Economic network
• 0.036 + - Netflix prize
• 0.024 + - Wassily Leontief
• 0.022 + - John Maynard Keynes
• 0.004 + - Input–output model
• 0.002 + - Eugene Garfield
• 0.001 + - Paper/McNerney2018production
• 0.001 + - Weka
• 0.000 + - Paper
• 0.000 + - Probability
• 0.000 + - Network science
• 0.000 + - James McNerney
• 0.000 + - Doyne Farmer
• 0.000 + - Francesco Caravelli
• 0.000 + - Charles Savoie
• 0.000 + - Network
• 0.000 + - Dynamical system
• 0.000 + - Link prediction
• 0.000 + - IPython
• 0.000 + - Complex systems