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

Positive matches

• 0.116 + - Class imbalance
• 0.045 + - IPython notebook
• 0.033 + - Netflix prize
• 0.026 + - Python/Modules
• 0.024 + - Gradient descent
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Python
• 0.017 + - SSH tunneling
• 0.015 + - Learning
• 0.014 + - Future of work
• 0.014 + - Boosting (machine learning)
• 0.013 + - Jupyter
• 0.012 + - Regular expression
• 0.011 + - Privacy and Deanonymization
• 0.010 + - scikit-learn
• 0.007 + - Regex
• 0.007 + - Python/Beautiful soup
• 0.006 + - Decision tree
• 0.006 + - Paradox
• 0.006 + - Data science

Negative matches

• 0.019 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Residual leanrning
• 0.004 + - Attention
• 0.003 + - Reinforcement learning
• 0.003 + - Probability
• 0.003 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - LSTM
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Deep learning and graphs
• 0.002 + - Natural language processing
• 0.002 + - Yann LeCun
• 0.002 + - word2vec
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Quoc Le