Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Future of work +Erik Brynjolfsson -Recommender system -David Feldman -Information theory"

Positive matches

• 0.151 + - Machine learning
• 0.091 + - Class imbalance
• 0.024 + - Data clustering
• 0.020 + - Gradient descent
• 0.014 + - IPython notebook
• 0.012 + - Tom Mitchell
• 0.012 + - Artificial intelligence
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• 0.012 + - Technological unemployment
• 0.012 + - Jupyter/notebook
• 0.012 + - Skill gap
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• 0.010 + - Boosting (machine learning)
• 0.009 + - Bookshelf
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• 0.008 + - Programming interview
• 0.005 + - Deep learning
• 0.005 + - scikit-learn
• 0.005 + - Industry-Academic Partnership
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Negative matches

• 0.054 + - Lexical feature selection
• 0.036 + - Netflix prize
• 0.009 + - Cross entropy
• 0.009 + - Pointwise mutual information
• 0.009 + - David MacKay
• 0.009 + - Gibbs' inequality
• 0.009 + - Kullback–Leibler divergence
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.006 + - Text analysis
• 0.001 + - Weka
• 0.000 + - Data analysis
• 0.000 + - StanfordNLP
• 0.000 + - Social network
• 0.000 + - spaCy
• 0.000 + - Convolutional neural network
• 0.000 + - NLP
• 0.000 + - scispaCy
• 0.000 + - Paper/Gatys2015
• 0.000 + - Python/Debugging
• 0.000 + - Theano