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) -Ron Meir +Probability +tfidf +Data clustering +Learning -Ulrike von Luxburg -Lexical feature selection"

Positive matches

• 0.106 + - Class imbalance
• 0.027 + - Gradient descent
• 0.024 + - Recommender system
• 0.019 + - Deep learning
• 0.019 + - scikit-learn
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.014 + - How to study
• 0.014 + - Michael Ramscar
• 0.012 + - IPython notebook
• 0.011 + - Gensim
• 0.011 + - NLTK
• 0.011 + - Privacy and Deanonymization
• 0.010 + - Regular expression
• 0.010 + - Jupyter/notebook
• 0.009 + - Poker
• 0.008 + - Future of work
• 0.008 + - Random forest

Negative matches

• 0.012 + - Data analysis
• 0.010 + - Natural language processing
• 0.004 + - Biomedical natural language processing
• 0.003 + - NLP
• 0.002 + - Recurrent neural network
• 0.002 + - CNN
• 0.002 + - Convolutional neural network
• 0.001 + - Paradox
• 0.001 + - Topic modeling
• 0.001 + - fastText
• 0.001 + - Christopher D. Manning
• 0.001 + - String metric
• 0.001 + - Long short-term memory
• 0.001 + - BookNLP
• 0.001 + - KoNLPy
• 0.001 + - StanfordNLP
• 0.001 + - Word segmentation
• 0.001 + - KenLM
• 0.001 + - Sentence embedding
• 0.001 + - Topic model