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 +Random forest -Deep learning"

Positive matches

• 0.116 + - Class imbalance
• 0.040 + - Decision tree
• 0.028 + - Gradient descent
• 0.026 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.022 + - IPython notebook
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.021 + - tf-idf
• 0.019 + - Gilles Louppe
• 0.017 + - Boosting (machine learning)
• 0.017 + - tfidf
• 0.017 + - Poker
• 0.016 + - Python/Modules
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.014 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Jupyter

Negative matches

• 0.016 + - Language
• 0.005 + - Amazon EC2
• 0.005 + - Attention
• 0.004 + - Reinforcement learning
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.003 + - Q-learning
• 0.002 + - Residual leanrning
• 0.002 + - Amazon Web Services
• 0.002 + - Brain network
• 0.002 + - Dropout
• 0.002 + - Deep learning and graphs
• 0.002 + - Natural language processing
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Geoffrey Hinton
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Sentiment analysis