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 +Recommender system +Gradient descent +Netflix prize +Ulrike von Luxburg -Deep learning"

Positive matches

• 0.115 + - Class imbalance
• 0.032 + - Neural network
• 0.029 + - Neuron
• 0.023 + - IPython notebook
• 0.017 + - Poker
• 0.015 + - Learning
• 0.015 + - Future of work
• 0.013 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.012 + - Boosting (machine learning)
• 0.012 + - Regular expression
• 0.011 + - Privacy and Deanonymization
• 0.011 + - SSH tunneling
• 0.011 + - scikit-learn
• 0.008 + - Regex
• 0.008 + - Paradox
• 0.008 + - Decision tree
• 0.007 + - Weka
• 0.006 + - Naive Bayes classifier

Negative matches

• 0.017 + - Language
• 0.005 + - Residual leanrning
• 0.005 + - Reinforcement learning
• 0.005 + - Amazon EC2
• 0.003 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.002 + - Evolution strategy
• 0.002 + - Attention
• 0.002 + - Amazon Web Services
• 0.002 + - Probability
• 0.002 + - Deep generative models
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - Natural language processing
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial networks