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 +Pointwise mutual information -Natural language processing"

Positive matches

• 0.215 + - Machine learning
• 0.055 + - Text analysis
• 0.053 + - Lexical feature selection
• 0.037 + - Information theory
• 0.028 + - tfidf
• 0.025 + - Decision tree
• 0.022 + - Gradient descent
• 0.021 + - Recommender system
• 0.016 + - Random forest
• 0.014 + - Gensim
• 0.013 + - NLTK
• 0.011 + - Python/Modules
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - IPython notebook
• 0.011 + - skorch
• 0.011 + - Tim Hopper
• 0.010 + - Python
• 0.010 + - Bookshelf
• 0.010 + - Data analysis

Negative matches

• 0.017 + - CNN
• 0.008 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.003 + - Amazon Elastic Compute Cloud
• 0.003 + - Paper/Gatys2015
• 0.002 + - BERT
• 0.002 + - String metric
• 0.002 + - scispaCy
• 0.002 + - Christopher D. Manning
• 0.002 + - KoNLPy
• 0.002 + - Topic modeling
• 0.002 + - Sentence embedding
• 0.002 + - spaCy
• 0.002 + - Kyunghyun Cho
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Word embedding
• 0.002 + - Sentiment analysis
• 0.002 + - fastText
• 0.002 + - KenLM
• 0.002 + - Long short-term memory