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 -Data clustering +Gradient descent +Machine learning for physical sciences +Regular expression +Web mining +Class imbalance -Learning"

Positive matches

• 0.060 + - Regex
• 0.033 + - Neural network
• 0.031 + - Recommender system
• 0.030 + - Neuron
• 0.022 + - Ulrike von Luxburg
• 0.014 + - Boosting (machine learning)
• 0.013 + - Future of work
• 0.012 + - Python/Modules
• 0.012 + - Javascript
• 0.012 + - scikit-learn
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Prime number
• 0.010 + - Poker
• 0.010 + - HTML
• 0.010 + - IPython notebook
• 0.010 + - Jupyter/notebook
• 0.009 + - Anemone
• 0.009 + - Nokogiri
• 0.009 + - Ruby
• 0.009 + - Python

Negative matches

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