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 -Poker +Jupyter/notebook +Regex +scikit-learn +Python/Modules +Gradient descent +Learning -Deep learning"

Positive matches

• 0.097 + - Class imbalance
• 0.069 + - Regular expression
• 0.032 + - Neural network
• 0.029 + - Neuron
• 0.027 + - Decision tree
• 0.023 + - IPython notebook
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.019 + - Recommender system
• 0.017 + - IPython
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.015 + - Random forest
• 0.014 + - tfidf
• 0.014 + - Python
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Boosting (machine learning)
• 0.012 + - Jupyter
• 0.011 + - skorch
• 0.010 + - Future of work

Negative matches

• 0.016 + - Language
• 0.007 + - Amazon EC2
• 0.004 + - Attention
• 0.004 + - Residual leanrning
• 0.004 + - Reinforcement learning
• 0.003 + - Brain network
• 0.003 + - LSTM
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Probability
• 0.002 + - Evolution strategy
• 0.002 + - Deep generative models
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 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 + - Brain and deep learning