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) +Recommender system +Ron Meir +Ulrike von Luxburg +Text analysis -Jupyter/notebook"

Positive matches

• 0.126 + - Class imbalance
• 0.044 + - Lexical feature selection
• 0.033 + - Netflix prize
• 0.033 + - Data analysis
• 0.027 + - Gradient descent
• 0.023 + - scikit-learn
• 0.022 + - Data clustering
• 0.021 + - Science
• 0.019 + - Learning
• 0.018 + - Pointwise mutual information
• 0.017 + - Yoav Freund
• 0.016 + - Future of work
• 0.016 + - Rob Schapire
• 0.014 + - Regular expression
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.013 + - Privacy and Deanonymization
• 0.013 + - tfidf
• 0.009 + - Interdisciplinary research
• 0.008 + - Regex

Negative matches

• 0.012 + - Jupyter
• 0.012 + - Artemy Kolchinsky
• 0.010 + - IPython
• 0.006 + - SSH tunneling
• 0.004 + - Probability
• 0.003 + - Data science
• 0.002 + - Python/Beautiful soup
• 0.002 + - SSH
• 0.002 + - IPython notebook
• 0.001 + - SSH config
• 0.001 + - Pajek
• 0.001 + - Information visualization
• 0.001 + - Data
• 0.001 + - Python/CLI
• 0.000 + - Python/Debugging
• 0.000 + - Proxy
• 0.000 + - Python/pandas
• 0.000 + - Progress bar
• 0.000 + - Python/doit
• 0.000 + - Python/Vincent