Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Data science +Cross entropy +Pointwise mutual information -Poker +Simpson's paradox +Text analysis +Interdisciplinary research -Ron Meir -Lexical feature selection"

Positive matches

• 0.080 + - Science
• 0.051 + - Probability, Paradox, and the Reasonable Person Principle
• 0.027 + - Class imbalance
• 0.023 + - IPython
• 0.023 + - Class imbalance problem
• 0.023 + - Computational social science
• 0.023 + - Probability
• 0.017 + - Industry-Academic Partnership
• 0.016 + - SSH tunneling
• 0.016 + - Gradient descent
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.013 + - Artemy Kolchinsky
• 0.012 + - SSH
• 0.012 + - Jupyter
• 0.011 + - Python
• 0.010 + - Data analysis
• 0.009 + - Recommender system
• 0.009 + - David Feldman
• 0.009 + - Information Theory, Inference, and Learning Algorithms

Negative matches

• 0.011 + - Natural language processing
• 0.008 + - tf-idf
• 0.004 + - Convolutional neural network
• 0.001 + - Sentence embedding
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - CNN
• 0.001 + - Tim Hopper
• 0.001 + - NLP
• 0.001 + - Christopher D. Manning
• 0.001 + - Archetype
• 0.000 + - Kyunghyun Cho
• 0.000 + - String metric
• 0.000 + - KenLM
• 0.000 + - word2vec
• 0.000 + - fastText
• 0.000 + - KoNLPy
• 0.000 + - Word embedding
• 0.000 + - BookNLP
• 0.000 + - Recurrent neural network