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 +Jupyter/notebook +Boosting (machine learning) +IPython +Rob Schapire -Poker -Learning"

Positive matches

• 0.117 + - Class imbalance
• 0.043 + - IPython notebook
• 0.026 + - Gradient descent
• 0.025 + - Python/Modules
• 0.023 + - Python
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Recommender system
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.015 + - SSH tunneling
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Future of work
• 0.012 + - Regular expression
• 0.012 + - Jupyter
• 0.012 + - Privacy and Deanonymization
• 0.011 + - scikit-learn
• 0.007 + - Regex
• 0.007 + - Paradox
• 0.006 + - Python/Bokeh
• 0.006 + - Artificial neural network

Negative matches

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