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 +IPython notebook +Poker +Recommender system -NLTK"

Positive matches

• 0.125 + - Class imbalance
• 0.033 + - Netflix prize
• 0.027 + - Gradient descent
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.022 + - scikit-learn
• 0.022 + - Jupyter/notebook
• 0.019 + - Learning
• 0.019 + - Text analysis
• 0.017 + - Yoav Freund
• 0.016 + - Future of work
• 0.016 + - Rob Schapire
• 0.014 + - Regular expression
• 0.014 + - Pointwise mutual information
• 0.013 + - SSH tunneling
• 0.013 + - Privacy and Deanonymization
• 0.013 + - Gensim
• 0.012 + - IPython
• 0.012 + - Python
• 0.011 + - Data science

Negative matches

• 0.029 + - Natural language processing
• 0.005 + - Biomedical natural language processing
• 0.004 + - tfidf
• 0.003 + - Probability
• 0.003 + - scispaCy
• 0.002 + - Lexical feature selection
• 0.002 + - spaCy
• 0.002 + - NLP
• 0.002 + - StanfordNLP
• 0.001 + - CNN
• 0.001 + - Archetype
• 0.001 + - Musical composition
• 0.001 + - Residual Learning
• 0.001 + - Sentiment analysis
• 0.000 + - Paper/Gatys2015
• 0.000 + - Recurrent neural network
• 0.000 + - Attention (Deep learning)
• 0.000 + - Amazon Elastic Compute Cloud
• 0.000 + - Long short-term memory