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 +IPython notebook +Artemy Kolchinsky -Recommender system -Deep learning"

Positive matches

• 0.102 + - Class imbalance
• 0.037 + - Poker
• 0.027 + - IPython
• 0.026 + - Gradient descent
• 0.024 + - Ulrike von Luxburg
• 0.018 + - SSH tunneling
• 0.016 + - Python
• 0.016 + - Data science
• 0.014 + - Jupyter
• 0.011 + - scikit-learn
• 0.010 + - Privacy and Deanonymization
• 0.009 + - SSH
• 0.007 + - Future of work
• 0.007 + - Boosting (machine learning)
• 0.007 + - Regex
• 0.007 + - Regular expression
• 0.006 + - Probability
• 0.005 + - Python/Modules
• 0.005 + - Python/Beautiful soup
• 0.005 + - Learning

Negative matches

• 0.032 + - Netflix prize
• 0.024 + - Language
• 0.009 + - Residual leanrning
• 0.004 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.003 + - RNN
• 0.002 + - Cecilia Mascolo
• 0.002 + - Q-learning
• 0.002 + - Machine translation
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Keras
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial networks