Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Recommender system +Class imbalance problem +Jupyter/notebook -Probability, Paradox, and the Reasonable Person Principle -Lexical feature selection"

Positive matches

• 0.105 + - Class imbalance
• 0.035 + - Netflix prize
• 0.033 + - Simpson's paradox
• 0.030 + - Poker
• 0.025 + - IPython
• 0.024 + - Gradient descent
• 0.022 + - Paper/MacKay1991
• 0.022 + - Books
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.018 + - Ron Meir
• 0.018 + - Yoav Freund
• 0.018 + - SSH tunneling
• 0.018 + - Rob Schapire
• 0.017 + - Data science
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.014 + - Python
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - Learning

Negative matches

• 0.016 + - Data analysis
• 0.015 + - Natural language processing
• 0.013 + - tf-idf
• 0.011 + - Text analysis
• 0.008 + - Pointwise mutual information
• 0.008 + - NLP
• 0.004 + - Convolutional neural network
• 0.003 + - StanfordNLP
• 0.003 + - CNN
• 0.002 + - spaCy
• 0.002 + - Gensim
• 0.002 + - String metric
• 0.002 + - Kyunghyun Cho
• 0.001 + - KenLM
• 0.001 + - Biomedical natural language processing
• 0.001 + - NLTK
• 0.001 + - BookNLP
• 0.001 + - Sentiment analysis
• 0.001 + - Christopher D. Manning
• 0.001 + - fastText