Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +tf-idf +Boosting (machine learning) +IPython notebook +Class imbalance +tfidf -Lexical feature selection"

Positive matches

• 0.033 + - Recommender system
• 0.030 + - Gradient descent
• 0.025 + - scikit-learn
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.023 + - Poker
• 0.023 + - Jupyter/notebook
• 0.018 + - Yoav Freund
• 0.018 + - Ron Meir
• 0.018 + - Rob Schapire
• 0.016 + - Privacy and Deanonymization
• 0.014 + - Learning
• 0.013 + - Gensim
• 0.013 + - Data science
• 0.013 + - NLTK
• 0.013 + - Python
• 0.013 + - SSH tunneling
• 0.012 + - IPython
• 0.011 + - Random forest
• 0.011 + - Regular expression

Negative matches

• 0.022 + - Data analysis
• 0.011 + - Natural language processing
• 0.003 + - CNN
• 0.003 + - StanfordNLP
• 0.003 + - NLP
• 0.002 + - Pointwise mutual information
• 0.002 + - Biomedical natural language processing
• 0.002 + - String metric
• 0.001 + - Word segmentation
• 0.001 + - scispaCy
• 0.001 + - KenLM
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Word embedding
• 0.001 + - KoNLPy
• 0.001 + - BookNLP
• 0.001 + - fastText
• 0.001 + - Sentiment analysis
• 0.001 + - Dialog act
• 0.001 + - Convolutional neural network
• 0.001 + - Recurrent neural network