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 +tf-idf -Data clustering +Lexical feature selection +Pointwise mutual information -Natural language processing"

Positive matches

• 0.201 + - Machine learning
• 0.068 + - Text analysis
• 0.035 + - Information theory
• 0.027 + - tfidf
• 0.026 + - Data analysis
• 0.023 + - Decision tree
• 0.019 + - Gradient descent
• 0.015 + - Recommender system
• 0.015 + - Gensim
• 0.014 + - Random forest
• 0.013 + - NLTK
• 0.011 + - Python/Modules
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.010 + - skorch
• 0.010 + - Python
• 0.010 + - IPython notebook
• 0.010 + - Tim Hopper
• 0.010 + - Bookshelf
• 0.009 + - Interdisciplinary research

Negative matches

• 0.011 + - Residual Learning
• 0.010 + - CNN
• 0.004 + - Residual leanrning
• 0.003 + - Probability
• 0.002 + - BERT
• 0.002 + - Kyunghyun Cho
• 0.002 + - Word embedding
• 0.002 + - KoNLPy
• 0.002 + - fastText
• 0.002 + - RNN
• 0.002 + - Paper/Gatys2015
• 0.002 + - KenLM
• 0.002 + - Sentence embedding
• 0.002 + - Latent Dirichlet allocation
• 0.001 + - Christopher M. Danforth
• 0.001 + - Sentiment analysis
• 0.001 + - Differentiable neural computers
• 0.001 + - Archetype
• 0.001 + - scispaCy
• 0.001 + - Keras