Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +Probability, Paradox, and the Reasonable Person Principle +Cluster analysis +Deep learning +EM algorithm +Future of work +Erik Brynjolfsson +Artificial neural network -Technological unemployment"

Positive matches

• 0.040 + - Probability
• 0.036 + - Paradox
• 0.032 + - Neural network
• 0.024 + - Neuron
• 0.021 + - Data clustering
• 0.020 + - Ulrike von Luxburg
• 0.020 + - Brain network
• 0.018 + - Language
• 0.013 + - Recommender system
• 0.011 + - Learning
• 0.011 + - Jupyter/notebook
• 0.011 + - Boosting (machine learning)
• 0.010 + - IPython notebook
• 0.009 + - Artificial intelligence
• 0.009 + - Tom Mitchell
• 0.009 + - Skill gap
• 0.009 + - GraphLab
• 0.008 + - Residual leanrning
• 0.007 + - Image completion
• 0.007 + - Python#Modules_.26_Libraries

Negative matches

• 0.046 + - Economic network
• 0.017 + - John Maynard Keynes
• 0.017 + - Wassily Leontief
• 0.005 + - Input–output model
• 0.001 + - Eugene Garfield
• 0.001 + - Home
• 0.001 + - Paper/McNerney2018production
• 0.001 + - Network science
• 0.000 + - Charles Savoie
• 0.000 + - James McNerney
• 0.000 + - Francesco Caravelli
• 0.000 + - Doyne Farmer
• 0.000 + - Network
• 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
• 0.000 + - Network datasets