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 +skorch +PyTorch -Lexical feature selection"

Positive matches

• 0.194 + - Machine learning
• 0.100 + - Class imbalance
• 0.045 + - Decision tree
• 0.035 + - PyTorch-BigGraph
• 0.032 + - tfidf
• 0.022 + - tf-idf
• 0.022 + - Data clustering
• 0.022 + - Gradient descent
• 0.020 + - Recommender system
• 0.016 + - Random forest
• 0.014 + - Python/Modules
• 0.013 + - Jupyter/notebook
• 0.012 + - Tim Hopper
• 0.011 + - IPython notebook
• 0.011 + - Python
• 0.011 + - Erik Brynjolfsson
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap

Negative matches

• 0.024 + - Data analysis
• 0.015 + - Pointwise mutual information
• 0.013 + - Natural language processing
• 0.013 + - Text analysis
• 0.004 + - Biomedical natural language processing
• 0.003 + - StanfordNLP
• 0.003 + - CNN
• 0.003 + - NLP
• 0.002 + - Convolutional neural network
• 0.002 + - String metric
• 0.001 + - Gensim
• 0.001 + - scispaCy
• 0.001 + - KenLM
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Word embedding
• 0.001 + - KoNLPy
• 0.001 + - fastText
• 0.001 + - Sentiment analysis
• 0.001 + - David Feldman
• 0.001 + - Information Theory, Inference, and Learning Algorithms