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 +Gradient descent -EM algorithm +scikit-learn +Lexical feature selection +Natural language processing +Residual Learning"

Positive matches

• 0.109 + - Class imbalance
• 0.033 + - Neural network
• 0.031 + - Convolutional neural network
• 0.030 + - Deep learning
• 0.028 + - Neuron
• 0.027 + - tf-idf
• 0.025 + - Residual leanrning
• 0.024 + - Recommender system
• 0.023 + - Ulrike von Luxburg
• 0.023 + - Text analysis
• 0.022 + - Decision tree
• 0.020 + - Data analysis
• 0.018 + - Pointwise mutual information
• 0.018 + - CNN
• 0.014 + - Boosting (machine learning)
• 0.014 + - Random forest
• 0.013 + - Learning
• 0.013 + - Python/Modules
• 0.012 + - Artificial neural network
• 0.012 + - tfidf

Negative matches

• 0.004 + - Probability