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) +Gensim +Ulrike von Luxburg +Recommender system -NLTK"

Positive matches

• 0.136 + - Class imbalance
• 0.035 + - word2vec
• 0.035 + - Netflix prize
• 0.031 + - Gradient descent
• 0.025 + - scikit-learn
• 0.024 + - Data clustering
• 0.024 + - Text analysis
• 0.020 + - Learning
• 0.018 + - Yoav Freund
• 0.018 + - Ron Meir
• 0.018 + - Rob Schapire
• 0.017 + - Privacy and Deanonymization
• 0.015 + - Pointwise mutual information
• 0.014 + - Future of work
• 0.013 + - tfidf
• 0.013 + - IPython notebook
• 0.012 + - Regular expression
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.009 + - Regex

Negative matches

• 0.027 + - Natural language processing
• 0.004 + - Biomedical natural language processing
• 0.002 + - Convolutional neural network
• 0.002 + - StanfordNLP
• 0.002 + - CNN
• 0.002 + - NLP
• 0.001 + - Paper/Gatys2015
• 0.001 + - Musical composition
• 0.001 + - spaCy
• 0.000 + - scispaCy
• 0.000 + - Brain and deep learning
• 0.000 + - Amazon Elastic Compute Cloud
• 0.000 + - RNN
• 0.000 + - Long short-term memory
• 0.000 + - Attention (Deep learning)
• 0.000 + - IPython