Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Probability distribution +Simpson's paradox +Information Theory, Inference, and Learning Algorithms -Lexical feature selection"

Positive matches

• 0.084 + - Probability, Paradox, and the Reasonable Person Principle
• 0.060 + - Books
• 0.048 + - Probability theory
• 0.030 + - Class imbalance
• 0.029 + - Class imbalance problem
• 0.025 + - Jupyter/notebook
• 0.024 + - Beta distribution
• 0.024 + - Paper/MacKay1991
• 0.023 + - Poker
• 0.021 + - Gradient descent
• 0.020 + - Rob Schapire
• 0.019 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.015 + - IPython
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.012 + - Python
• 0.012 + - Recommender system
• 0.012 + - David Feldman
• 0.010 + - Cross entropy

Negative matches

• 0.018 + - Data analysis
• 0.016 + - Natural language processing
• 0.015 + - tf-idf
• 0.012 + - Text analysis
• 0.009 + - NLP
• 0.009 + - Pointwise mutual information
• 0.005 + - Convolutional neural network
• 0.003 + - StanfordNLP
• 0.003 + - CNN
• 0.002 + - spaCy
• 0.002 + - Recurrent neural network
• 0.002 + - Gensim
• 0.002 + - Christopher D. Manning
• 0.002 + - NLTK
• 0.002 + - RNN
• 0.002 + - String metric
• 0.001 + - Kyunghyun Cho
• 0.001 + - KenLM
• 0.001 + - Biomedical natural language processing
• 0.001 + - Attention (Deep learning)