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 +Class imbalance +scikit-learn -Paradox +Decision tree -tf-idf"

Positive matches

• 0.264 + - Machine learning
• 0.050 + - Random forest
• 0.033 + - Gradient descent
• 0.025 + - Recommender system
• 0.024 + - Data clustering
• 0.017 + - Boosting (machine learning)
• 0.013 + - Learning
• 0.012 + - Jupyter/notebook
• 0.012 + - Poker
• 0.012 + - Python
• 0.011 + - Interdisciplinary research
• 0.011 + - IPython notebook
• 0.011 + - Future of work
• 0.011 + - Python/Modules
• 0.010 + - skorch
• 0.010 + - Tim Hopper
• 0.009 + - Bookshelf
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Programming interview
• 0.006 + - Tom M. MItchell

Negative matches

• 0.036 + - Simpson's paradox
• 0.028 + - Text analysis
• 0.014 + - NLTK
• 0.014 + - Gensim
• 0.010 + - Pointwise mutual information
• 0.009 + - Lexical feature selection
• 0.005 + - Natural language processing
• 0.003 + - Data analysis
• 0.002 + - Probability
• 0.001 + - sense2vec
• 0.001 + - Skip-gram
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Paper/Levy2014
• 0.001 + - Convolutional neural network
• 0.001 + - NLP
• 0.001 + - scispaCy
• 0.001 + - GloVe
• 0.000 + - StanfordNLP
• 0.000 + - Clinical concept embedding
• 0.000 + - word2vec