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 +NLTK -Lexical feature selection"

Positive matches

• 0.136 + - Class imbalance
• 0.038 + - Recommender system
• 0.035 + - tfidf
• 0.033 + - Gradient descent
• 0.029 + - Natural language processing
• 0.027 + - scikit-learn
• 0.026 + - Data clustering
• 0.025 + - Ulrike von Luxburg
• 0.023 + - Jupyter/notebook
• 0.021 + - Poker
• 0.020 + - Yoav Freund
• 0.020 + - Rob Schapire
• 0.019 + - Ron Meir
• 0.019 + - Text analysis
• 0.016 + - Learning
• 0.014 + - Privacy and Deanonymization
• 0.014 + - SSH tunneling
• 0.014 + - IPython
• 0.013 + - Data science
• 0.013 + - Gensim

Negative matches

• 0.024 + - Data analysis
• 0.003 + - NLP
• 0.002 + - BookNLP
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Word segmentation
• 0.001 + - fastText
• 0.001 + - Sentence embedding
• 0.001 + - Dialog act
• 0.001 + - Sentiment analysis
• 0.001 + - Christopher D. Manning
• 0.001 + - String metric
• 0.001 + - KoNLPy
• 0.001 + - CNN
• 0.001 + - Tomas Mikolov
• 0.001 + - spaCy
• 0.000 + - Amazon Elastic Compute Cloud
• 0.000 + - Recurrent neural network