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 -Paradox +Gradient descent +scikit-learn -Deep learning"

Positive matches

• 0.248 + - Machine learning
• 0.120 + - Class imbalance
• 0.037 + - Neural network
• 0.033 + - Neuron
• 0.025 + - Recommender system
• 0.024 + - Brain network
• 0.019 + - tfidf
• 0.018 + - Decision tree
• 0.015 + - Random forest
• 0.012 + - IPython notebook
• 0.012 + - Poker
• 0.012 + - skorch
• 0.012 + - Python
• 0.011 + - Jupyter/notebook
• 0.011 + - Boosting (machine learning)
• 0.011 + - Python/Modules
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.008 + - Learning
• 0.008 + - PyTorch

Negative matches

• 0.036 + - Simpson's paradox
• 0.014 + - Language
• 0.012 + - Residual leanrning
• 0.006 + - Amazon EC2
• 0.003 + - Attention
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Andy Connelly
• 0.002 + - Q-learning
• 0.002 + - NLP
• 0.002 + - Evolution strategy
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Deep learning and graphs
• 0.002 + - word2vec
• 0.002 + - Thermostat
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano