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 +Ulrike von Luxburg +Jupyter/notebook +Jupyter +scikit-learn +Deep learning -Language"

Positive matches

• 0.214 + - Machine learning
• 0.107 + - Class imbalance
• 0.045 + - IPython notebook
• 0.034 + - Polynote
• 0.031 + - IPython
• 0.026 + - Poker
• 0.024 + - Gradient descent
• 0.023 + - Brain network
• 0.020 + - Decision tree
• 0.020 + - Recommender system
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.013 + - Random forest
• 0.012 + - Python/Modules
• 0.012 + - SSH tunneling
• 0.011 + - tfidf
• 0.011 + - skorch
• 0.011 + - PyTorch
• 0.011 + - Boosting (machine learning)
• 0.011 + - Learning

Negative matches

• 0.005 + - Metaphor
• 0.005 + - Linguistic relativity
• 0.005 + - Language detection
• 0.005 + - WALS
• 0.005 + - Language of thought
• 0.005 + - Linguistic network
• 0.005 + - Zipf's law
• 0.005 + - Home
• 0.005 + - Language development
• 0.005 + - Happinness
• 0.005 + - English language
• 0.005 + - Evolution of language
• 0.004 + - Linguistic diversity
• 0.003 + - Machine translation
• 0.002 + - Convolutional Neural Network
• 0.002 + - Power law
• 0.001 + - Urban scaling
• 0.001 + - Allometry
• 0.001 + - Pareto principle
• 0.000 + - Tomas Mikolov