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 +Boosting (machine learning) +Python/Modules +skorch -Yoav Freund -Lexical feature selection"

Positive matches

• 0.225 + - Machine learning
• 0.036 + - PyTorch
• 0.032 + - Decision tree
• 0.025 + - tfidf
• 0.024 + - Gradient descent
• 0.021 + - Data clustering
• 0.017 + - Recommender system
• 0.016 + - Rob Schapire
• 0.016 + - Ron Meir
• 0.015 + - Random forest
• 0.013 + - Python
• 0.012 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.011 + - Learning
• 0.010 + - Tim Hopper
• 0.010 + - Poker
• 0.010 + - Future of work
• 0.009 + - Bookshelf
• 0.009 + - Interdisciplinary research
• 0.008 + - Privacy and Deanonymization

Negative matches

• 0.019 + - Data analysis
• 0.014 + - Pointwise mutual information
• 0.014 + - Text analysis
• 0.013 + - Natural language processing
• 0.007 + - Convolutional neural network
• 0.005 + - NLP
• 0.003 + - Probability
• 0.002 + - Long short-term memory
• 0.002 + - spaCy
• 0.002 + - StanfordNLP
• 0.002 + - Christopher D. Manning
• 0.002 + - Biomedical natural language processing
• 0.002 + - Gensim
• 0.001 + - Topic modeling
• 0.001 + - CNN
• 0.001 + - Residual Learning
• 0.001 + - Recurrent neural network
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - word2vec
• 0.001 + - scispaCy