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 +tf-idf +Brain network -Deep learning"

Positive matches

• 0.219 + - Machine learning
• 0.114 + - Class imbalance
• 0.027 + - tfidf
• 0.023 + - Text analysis
• 0.022 + - Decision tree
• 0.022 + - Gradient descent
• 0.019 + - Pointwise mutual information
• 0.015 + - Lexical feature selection
• 0.013 + - Future of work
• 0.013 + - Allen Institute for Brain Science
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.012 + - Boosting (machine learning)
• 0.012 + - Random forest
• 0.012 + - Caenorhabditis elegans
• 0.012 + - Learning
• 0.011 + - skorch
• 0.011 + - Python/Modules
• 0.011 + - IPython notebook
• 0.010 + - Poker

Negative matches

• 0.019 + - Language
• 0.005 + - Amazon EC2
• 0.005 + - Residual leanrning
• 0.004 + - Probability
• 0.003 + - Attention
• 0.003 + - Reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 0.002 + - Q-learning
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Deep learning and graphs
• 0.002 + - Theano
• 0.002 + - Keras
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Modeling animal behaviors with reinforcement learning