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 +Technological unemployment -John Maynard Keynes +Wassily Leontief +Skill gap -Learning"

Positive matches

• 0.104 + - Class imbalance
• 0.068 + - Economic network
• 0.024 + - IPython notebook
• 0.023 + - Recommender system
• 0.022 + - Gradient descent
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.020 + - Input–output model
• 0.017 + - Eugene Garfield
• 0.017 + - Poker
• 0.014 + - IPython
• 0.013 + - Jupyter
• 0.013 + - Artemy Kolchinsky
• 0.012 + - James Bessen
• 0.012 + - Andrew Weaver
• 0.012 + - Peter Cappelli
• 0.011 + - SSH tunneling
• 0.011 + - Regular expression
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Tom Mitchell

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.009 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - word2vec
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Yoshua Bengio
• 0.002 + - Jürgen Schmidhuber
• 0.001 + - Research advices
• 0.001 + - Residual Learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual leanrning
• 0.000 + - Marc'Aurelio Ranzato
• 0.000 + - Convolutional neural network
• 0.000 + - Thermostat
• 0.000 + - Keras