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 +Jupyter/notebook +Gradient descent +Boosting (machine learning) +scikit-learn -Data clustering -Poker -Learning"

Positive matches

• 0.223 + - Machine learning
• 0.112 + - Class imbalance
• 0.034 + - Neural network
• 0.033 + - Neuron
• 0.024 + - IPython notebook
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Decision tree
• 0.017 + - Recommender system
• 0.017 + - Ron Meir
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.014 + - Python
• 0.014 + - tfidf
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Random forest
• 0.013 + - Jupyter
• 0.013 + - IPython
• 0.012 + - Python/Modules
• 0.011 + - skorch
• 0.010 + - Bookshelf

Negative matches

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