Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Cross entropy -Yoav Freund +Data science +Industry-Academic Partnership -David Feldman -Pointwise mutual information"

Positive matches

• 0.069 + - Science
• 0.031 + - Simpson's paradox
• 0.031 + - Lexical feature selection
• 0.028 + - Computational social science
• 0.026 + - Interdisciplinary research
• 0.021 + - Jupyter/notebook
• 0.020 + - Poker
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.013 + - SSH tunneling
• 0.013 + - Gradient descent
• 0.013 + - IPython
• 0.010 + - Python
• 0.008 + - Gibbs' inequality
• 0.008 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - Data
• 0.008 + - David MacKay
• 0.007 + - Kullback–Leibler divergence
• 0.007 + - Science policy
• 0.007 + - Learning

Negative matches

• 0.027 + - Text analysis
• 0.005 + - Data analysis
• 0.003 + - Probability
• 0.003 + - StanfordNLP
• 0.002 + - Class imbalance problem
• 0.002 + - Convolutional neural network
• 0.001 + - tf-idf
• 0.001 + - Natural language processing
• 0.001 + - NLP
• 0.001 + - CNN
• 0.001 + - Generative adversarial network
• 0.001 + - NLTK
• 0.001 + - Gensim
• 0.001 + - Biomedical natural language processing
• 0.001 + - Word segmentation
• 0.000 + - Christopher D. Manning
• 0.000 + - word2vec
• 0.000 + - Dialog act
• 0.000 + - Random forest
• 0.000 + - scispaCy