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 +Jupyter/notebook +Artemy Kolchinsky +Brain network +IPython -Gradient descent"

Positive matches

• 0.173 + - Machine learning
• 0.109 + - Class imbalance
• 0.046 + - IPython notebook
• 0.028 + - Deep learning
• 0.025 + - Poker
• 0.025 + - Python
• 0.024 + - Python/Modules
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• 0.015 + - Allen Institute for Brain Science
• 0.014 + - Jupyter
• 0.013 + - Caenorhabditis elegans
• 0.010 + - Spatial network
• 0.010 + - Boosting (machine learning)
• 0.009 + - Brain and deep learning
• 0.009 + - Data science
• 0.008 + - Future of work
• 0.008 + - scikit-learn
• 0.008 + - Aging brain
• 0.008 + - Learning

Negative matches

• 0.032 + - Neural network
• 0.030 + - Neuron
• 0.002 + - Liquid state machine
• 0.002 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - Ilya Sutskever
• 0.001 + - Stability selection
• 0.001 + - WordRank
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Natural language processing
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - One-shot learning
• 0.001 + - Dimensionality reduction
• 0.001 + - Naive Bayes classifier
• 0.000 + - Recurrent neural network