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 +Probability +scikit-learn +Learning -Deep learning"

Positive matches

• 0.115 + - Class imbalance
• 0.030 + - Recommender system
• 0.028 + - Gradient descent
• 0.026 + - IPython notebook
• 0.025 + - Decision tree
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.022 + - Poker
• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.016 + - Random forest
• 0.015 + - Python
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.014 + - tfidf
• 0.013 + - IPython
• 0.013 + - Python/Modules
• 0.012 + - Privacy and Deanonymization

Negative matches

• 0.021 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Reinforcement learning
• 0.004 + - Residual leanrning
• 0.003 + - Q-learning
• 0.002 + - RNN
• 0.002 + - Archetype
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - LSTM
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Quoc Le
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton
• 0.002 + - Dropout
• 0.002 + - Sentiment analysis