Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Jupyter/notebook -Paradox -Simpson's paradox -Learning"

Positive matches

• 0.095 + - Class imbalance
• 0.024 + - IPython notebook
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.020 + - Poker
• 0.015 + - Gradient descent
• 0.014 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.007 + - Boosting (machine learning)
• 0.007 + - SSH tunneling
• 0.007 + - Data science
• 0.007 + - Recommender system
• 0.007 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.005 + - scikit-learn
• 0.005 + - SSH
• 0.005 + - Python
• 0.005 + - Regular expression
• 0.004 + - Image completion

Negative matches

• 0.046 + - Deep learning
• 0.017 + - Michael Ramscar
• 0.017 + - How to study
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Thermostat
• 0.002 + - Keras
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Residual Learning
• 0.002 + - Research advices
• 0.002 + - Residual leanrning
• 0.002 + - Autoencoder
• 0.001 + - Generative adversarial network
• 0.000 + - word2vec
• 0.000 + - Differentiable neural computers