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 +Gradient descent -Text analysis"

Positive matches

• 0.035 + - Neural network
• 0.034 + - Neuron
• 0.030 + - Recommender system
• 0.024 + - scikit-learn
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.023 + - Poker
• 0.022 + - Jupyter/notebook
• 0.018 + - Rob Schapire
• 0.018 + - Ron Meir
• 0.018 + - Pointwise mutual information
• 0.017 + - Yoav Freund
• 0.015 + - Python
• 0.015 + - Privacy and Deanonymization
• 0.014 + - Learning
• 0.013 + - IPython
• 0.013 + - tfidf
• 0.013 + - Data science
• 0.013 + - NLTK
• 0.013 + - Gensim

Negative matches

• 0.031 + - Data analysis
• 0.022 + - Science
• 0.020 + - Lexical feature selection
• 0.010 + - Interdisciplinary research
• 0.007 + - Industry-Academic Partnership
• 0.002 + - Science policy
• 0.001 + - Collaborative software
• 0.001 + - Policy
• 0.001 + - Software engineering in research
• 0.001 + - Kyunghyun Cho
• 0.001 + - Dialog act
• 0.001 + - Word embedding
• 0.001 + - Word segmentation
• 0.001 + - BookNLP
• 0.001 + - fastText
• 0.001 + - KenLM
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Sentence embedding
• 0.001 + - Home
• 0.001 + - Sentiment analysis