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 +Recommender system -Netflix prize +scikit-learn -Deep learning"

Positive matches

• 0.248 + - Machine learning
• 0.123 + - Class imbalance
• 0.037 + - Gradient descent
• 0.030 + - Decision tree
• 0.024 + - Brain network
• 0.016 + - Random forest
• 0.014 + - Boosting (machine learning)
• 0.013 + - tf-idf
• 0.013 + - IPython notebook
• 0.012 + - Learning
• 0.012 + - Python/Modules
• 0.012 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - tfidf
• 0.010 + - skorch
• 0.010 + - Future of work
• 0.010 + - Tim Hopper
• 0.010 + - Python
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Aging brain

Negative matches

• 0.020 + - Language
• 0.008 + - Amazon EC2
• 0.008 + - Residual leanrning
• 0.005 + - Attention
• 0.004 + - Reinforcement learning
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Natural language processing
• 0.002 + - Neural doodle
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Beer
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Generative adversarial networks
• 0.002 + - Paper/Gatys2015
• 0.002 + - TensorFlow
• 0.002 + - RNN
• 0.002 + - LSTM
• 0.002 + - Deep generative models