Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences +Recommender system +Gradient descent +Deep learning +Paradox -Neural network"

Positive matches

• 0.042 + - Probability, Paradox, and the Reasonable Person Principle
• 0.033 + - Netflix prize
• 0.031 + - Simpson's paradox
• 0.022 + - Neuron
• 0.020 + - Language
• 0.018 + - Pajek
• 0.017 + - Probability
• 0.013 + - IPython notebook
• 0.013 + - Learning
• 0.012 + - Jupyter/notebook
• 0.009 + - Future of work
• 0.009 + - Boosting (machine learning)
• 0.009 + - Artificial neural network
• 0.008 + - Naive Bayes classifier
• 0.008 + - Decision tree
• 0.008 + - Tom M. MItchell
• 0.008 + - Python#Modules_.26_Libraries
• 0.008 + - Sargur Srihari
• 0.008 + - Dimensionality reduction
• 0.007 + - Cluster analysis

Negative matches

• 0.020 + - Paper/Srivastava2014
• 0.008 + - Ilya Sutskever
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.006 + - Liquid state machine
• 0.005 + - Recurrent neural network
• 0.004 + - word2vec
• 0.004 + - Dropout
• 0.003 + - Hierarchical softmax
• 0.003 + - Graph embedding
• 0.003 + - sense2vec
• 0.002 + - wiki2vec
• 0.002 + - Skip-gram
• 0.002 + - Gensim
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Google
• 0.001 + - WordRank
• 0.001 + - GloVe
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Tomas Mikolov