Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Jupyter/notebook -Artemy Kolchinsky +Boosting (machine learning) +Ulrike von Luxburg +IPython notebook -Deep learning"

Positive matches

• 0.228 + - Machine learning
• 0.118 + - Class imbalance
• 0.033 + - Poker
• 0.027 + - IPython
• 0.027 + - Gradient descent
• 0.021 + - Brain network
• 0.021 + - Recommender system
• 0.019 + - SSH tunneling
• 0.017 + - Ron Meir
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.016 + - Data science
• 0.015 + - Python
• 0.014 + - Jupyter
• 0.009 + - Privacy and Deanonymization
• 0.009 + - Future of work
• 0.008 + - Learning
• 0.008 + - Regular expression
• 0.008 + - scikit-learn
• 0.008 + - Probability

Negative matches

• 0.023 + - Language
• 0.007 + - Residual leanrning
• 0.004 + - Andy Connelly
• 0.003 + - RNN
• 0.003 + - Amazon EC2
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Reinforcement learning
• 0.003 + - LSTM
• 0.002 + - Machine translation
• 0.002 + - Natural language processing
• 0.002 + - Beer
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Generative adversarial networks
• 0.002 + - Paper/Gatys2015
• 0.002 + - Deep generative models
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis