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 +Poker -Recommender system -Netflix prize +Computer science -Learning"

Positive matches

• 0.097 + - Class imbalance
• 0.023 + - IPython notebook
• 0.022 + - Ulrike von Luxburg
• 0.020 + - Gradient descent
• 0.014 + - Artemy Kolchinsky
• 0.013 + - IPython
• 0.013 + - Jupyter
• 0.009 + - Bookshelf
• 0.009 + - SSH tunneling
• 0.009 + - Regular expression
• 0.009 + - Interdisciplinary research
• 0.008 + - Privacy and Deanonymization
• 0.008 + - scikit-learn
• 0.008 + - Boosting (machine learning)
• 0.007 + - Regex
• 0.007 + - Industry-Academic Partnership
• 0.007 + - Programming interview
• 0.007 + - Paradox
• 0.006 + - Future of work
• 0.005 + - Random forest

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.008 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Autoencoder
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Quoc Le
• 0.002 + - Practice
• 0.002 + - Marc'Aurelio Ranzato
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Theano
• 0.000 + - Python#Modules_.26_Libraries
• 0.000 + - Keras
• 0.000 + - Thermostat
• 0.000 + - Convolutional neural network