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 +scikit-learn -Lexical feature selection"

Positive matches

• 0.168 + - Machine learning
• 0.094 + - Class imbalance
• 0.024 + - Data clustering
• 0.022 + - Gradient descent
• 0.021 + - Decision tree
• 0.016 + - tfidf
• 0.014 + - Random forest
• 0.013 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.012 + - Tom Mitchell
• 0.012 + - Artificial intelligence
• 0.012 + - Poker
• 0.012 + - Technological unemployment
• 0.012 + - Skill gap
• 0.011 + - Interdisciplinary research
• 0.011 + - skorch
• 0.011 + - Python
• 0.011 + - Boosting (machine learning)
• 0.011 + - Python/Modules
• 0.010 + - Tim Hopper

Negative matches

• 0.036 + - Netflix prize
• 0.024 + - Data analysis
• 0.017 + - Pointwise mutual information
• 0.015 + - Text analysis
• 0.013 + - Natural language processing
• 0.008 + - tf-idf
• 0.007 + - NLP
• 0.003 + - Biomedical natural language processing
• 0.003 + - Recurrent neural network
• 0.002 + - Probability
• 0.002 + - spaCy
• 0.002 + - NLTK
• 0.002 + - StanfordNLP
• 0.002 + - Word segmentation
• 0.001 + - Sentence embedding
• 0.001 + - BookNLP
• 0.001 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Amazon Elastic Compute Cloud