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 +Poker +scikit-learn -Erik Brynjolfsson +Probability +Data clustering -tf-idf"

Positive matches

• 0.179 + - Machine learning
• 0.096 + - Class imbalance
• 0.022 + - Decision tree
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.018 + - Gradient descent
• 0.015 + - Recommender system
• 0.012 + - IPython notebook
• 0.011 + - Python/Modules
• 0.010 + - Tom Mitchell
• 0.010 + - Artificial intelligence
• 0.010 + - Technological unemployment
• 0.010 + - Skill gap
• 0.010 + - Jupyter/notebook
• 0.010 + - Boosting (machine learning)
• 0.010 + - Random forest
• 0.009 + - Bookshelf
• 0.009 + - Interdisciplinary research
• 0.009 + - skorch
• 0.008 + - Tim Hopper

Negative matches

• 0.022 + - Text analysis
• 0.016 + - Pointwise mutual information
• 0.013 + - Gensim
• 0.012 + - NLTK
• 0.010 + - Lexical feature selection
• 0.001 + - word2vec
• 0.001 + - Data analysis
• 0.001 + - Natural language processing
• 0.001 + - Convolutional neural network
• 0.001 + - Continuous embedding
• 0.001 + - Skip-gram
• 0.001 + - NLP
• 0.001 + - CPython
• 0.000 + - GloVe
• 0.000 + - Paper/Levy2014a
• 0.000 + - sense2vec
• 0.000 + - TensorFlow
• 0.000 + - Embedded topic model
• 0.000 + - StanfordNLP
• 0.000 + - RNN