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 -Ron Meir +IPython notebook +NLTK -Pointwise mutual information"

Positive matches

• 0.116 + - Class imbalance
• 0.046 + - tfidf
• 0.032 + - Natural language processing
• 0.031 + - word2vec
• 0.025 + - Gradient descent
• 0.024 + - Recommender system
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Jupyter/notebook
• 0.021 + - scikit-learn
• 0.019 + - Poker
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.015 + - Learning
• 0.013 + - SSH tunneling
• 0.013 + - Regular expression
• 0.013 + - Future of work
• 0.012 + - IPython
• 0.012 + - Privacy and Deanonymization
• 0.011 + - Python

Negative matches

• 0.027 + - Information theory
• 0.004 + - Data analysis
• 0.001 + - Text analysis
• 0.001 + - Cross entropy
• 0.001 + - Probability
• 0.001 + - StanfordNLP
• 0.001 + - Word segmentation
• 0.001 + - Christopher D. Manning
• 0.000 + - Deep generative models
• 0.000 + - Gibbs' inequality
• 0.000 + - Dialog act
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - KenLM
• 0.000 + - fastText
• 0.000 + - David Feldman
• 0.000 + - Information Theory, Inference, and Learning Algorithms