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 +Future of work +Jupyter/notebook -Artemy Kolchinsky -Tom Mitchell +Recommender system +Class imbalance -Artificial neural network"

Positive matches

• 0.033 + - Netflix prize
• 0.023 + - Gradient descent
• 0.022 + - Data clustering
• 0.022 + - IPython notebook
• 0.022 + - Ulrike von Luxburg
• 0.018 + - Poker
• 0.016 + - Learning
• 0.014 + - IPython
• 0.014 + - Boosting (machine learning)
• 0.013 + - scikit-learn
• 0.013 + - Jupyter
• 0.012 + - Regular expression
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Erik Brynjolfsson
• 0.010 + - Artificial intelligence
• 0.010 + - Technological unemployment
• 0.010 + - Skill gap
• 0.009 + - Decision tree
• 0.009 + - SSH tunneling
• 0.008 + - Sargur Srihari

Negative matches

• 0.021 + - Brain network
• 0.014 + - Deep learning
• 0.007 + - Aging brain
• 0.004 + - Spatial network
• 0.004 + - Network similarity
• 0.002 + - Probability
• 0.001 + - Yoshua Bengio
• 0.001 + - Marc'Aurelio Ranzato
• 0.001 + - Natural language processing
• 0.001 + - Deep generative models
• 0.001 + - Modular structure of brain
• 0.001 + - Deep learning and graphs
• 0.001 + - word2vec
• 0.001 + - Yann LeCun
• 0.001 + - Residual Learning
• 0.001 + - Brain and deep learning
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Paper/Graves2016DNC
• 0.001 + - Kyunghyun Cho
• 0.000 + - Generative adversarial network