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 +Science policy +Policy +Paradox +Simpson's paradox +Bookshelf +Books -Learning"

Positive matches

• 0.147 + - Machine learning
• 0.092 + - Class imbalance
• 0.059 + - Home
• 0.031 + - Public health policy
• 0.029 + - Science
• 0.025 + - Interdisciplinary research
• 0.022 + - Research funding
• 0.021 + - Data clustering
• 0.018 + - Gradient descent
• 0.012 + - Recommender system
• 0.011 + - Jupyter/notebook
• 0.011 + - IPython notebook
• 0.010 + - Poker
• 0.009 + - Future of work
• 0.008 + - Industry-Academic Partnership
• 0.007 + - Programming interview
• 0.006 + - Academic conference
• 0.006 + - Boosting (machine learning)
• 0.005 + - Regular expression
• 0.005 + - Privacy and Deanonymization

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.011 + - Deep learning
• 0.002 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - Thermostat
• 0.002 + - word2vec
• 0.002 + - Keras
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Marc'Aurelio Ranzato
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Differentiable neural computers
• 0.001 + - Theano
• 0.000 + - Andrew Ng