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 +Rob Schapire -Yoav Freund +NLTK -Text analysis"

Positive matches

• 0.117 + - Class imbalance
• 0.035 + - Natural language processing
• 0.031 + - tfidf
• 0.026 + - Gradient descent
• 0.024 + - Recommender system
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.022 + - scikit-learn
• 0.021 + - Jupyter/notebook
• 0.019 + - Pointwise mutual information
• 0.019 + - Poker
• 0.017 + - Ron Meir
• 0.015 + - Learning
• 0.013 + - SSH tunneling
• 0.012 + - Future of work
• 0.012 + - Regular expression
• 0.012 + - Python
• 0.012 + - Gensim
• 0.012 + - Privacy and Deanonymization
• 0.011 + - Data science

Negative matches

• 0.030 + - Data analysis
• 0.021 + - Science
• 0.009 + - Interdisciplinary research
• 0.007 + - Industry-Academic Partnership
• 0.004 + - Lexical feature selection
• 0.003 + - Probability
• 0.002 + - Science policy
• 0.001 + - Collaborative software
• 0.001 + - Policy
• 0.001 + - Software engineering in research
• 0.001 + - Sentence embedding
• 0.001 + - Kyunghyun Cho
• 0.001 + - fastText
• 0.001 + - String metric
• 0.001 + - Word segmentation
• 0.001 + - Christopher D. Manning
• 0.001 + - Dialog act
• 0.001 + - BookNLP
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Home