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 +Ulrike von Luxburg +Python/Modules -Deep learning"

Positive matches

• 0.105 + - Class imbalance
• 0.034 + - Decision tree
• 0.024 + - Recommender system
• 0.023 + - Gradient descent
• 0.021 + - IPython notebook
• 0.020 + - Data clustering
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.017 + - Boosting (machine learning)
• 0.016 + - tf-idf
• 0.015 + - Poker
• 0.015 + - Gilles Louppe
• 0.015 + - IPython
• 0.015 + - tfidf
• 0.014 + - How to study
• 0.014 + - Michael Ramscar
• 0.013 + - skorch
• 0.012 + - Artemy Kolchinsky
• 0.012 + - Lexical feature selection
• 0.011 + - Jupyter

Negative matches

• 0.020 + - Language
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.003 + - Evolution strategy
• 0.002 + - Amazon EC2
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Attention
• 0.002 + - Amazon Web Services
• 0.002 + - Residual leanrning
• 0.002 + - Deep learning and graphs
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Generative adversarial networks
• 0.002 + - Paper/Gatys2015
• 0.002 + - Recurrent neural network
• 0.002 + - Autoencoder
• 0.002 + - TensorFlow
• 0.001 + - Andy Connelly
• 0.001 + - Dropout
• 0.001 + - Brain network
• 0.001 + - Keras
• 0.001 + - Neural doodle