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 -Learning"

Positive matches

• 0.119 + - Class imbalance
• 0.028 + - Gradient descent
• 0.027 + - IPython notebook
• 0.025 + - Ulrike von Luxburg
• 0.025 + - Data clustering
• 0.023 + - Recommender system
• 0.023 + - Poker
• 0.015 + - Jupyter
• 0.014 + - IPython
• 0.013 + - Boosting (machine learning)
• 0.013 + - scikit-learn
• 0.012 + - Erik Brynjolfsson
• 0.012 + - Artificial intelligence
• 0.012 + - Technological unemployment
• 0.012 + - Skill gap
• 0.010 + - Regular expression
• 0.010 + - Random forest
• 0.009 + - Neural network
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Regex

Negative matches

• 0.018 + - Michael Ramscar
• 0.018 + - How to study
• 0.014 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - TensorFlow
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial network
• 0.002 + - Yoshua Bengio
• 0.002 + - Autoencoder
• 0.002 + - Memorization
• 0.002 + - Recurrent neural network
• 0.002 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.001 + - Brain and deep learning
• 0.001 + - Residual Learning
• 0.001 + - Research advices
• 0.000 + - Convolutional neural network