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 +Boosting (machine learning) +Ron Meir +IPython notebook +Ulrike von Luxburg +Gradient descent -Deep learning"

Positive matches

• 0.250 + - Machine learning
• 0.116 + - Class imbalance
• 0.037 + - Neural network
• 0.025 + - Neuron
• 0.023 + - Jupyter/notebook
• 0.023 + - Brain network
• 0.020 + - Poker
• 0.019 + - Recommender system
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.012 + - Data science
• 0.012 + - SSH tunneling
• 0.011 + - Python
• 0.011 + - Learning
• 0.011 + - IPython
• 0.009 + - Future of work
• 0.009 + - Privacy and Deanonymization
• 0.007 + - Aging brain
• 0.007 + - scikit-learn
• 0.006 + - Liquid state machine

Negative matches

• 0.022 + - Language
• 0.008 + - Amazon EC2
• 0.006 + - Residual leanrning
• 0.004 + - Attention
• 0.003 + - LSTM
• 0.003 + - Reinforcement learning
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Deep generative models
• 0.002 + - Natural language processing
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Neural doodle
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Paper/Gatys2015
• 0.002 + - Paper/Graves2016DNC
• 0.001 + - Dropout
• 0.001 + - Machine translation