Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Recommender system -Class imbalance problem +Ron Meir +Jupyter -Lexical feature selection"

Positive matches

• 0.072 + - Probability, Paradox, and the Reasonable Person Principle
• 0.050 + - IPython
• 0.037 + - Netflix prize
• 0.037 + - Polynote
• 0.036 + - Simpson's paradox
• 0.034 + - Poker
• 0.027 + - Gradient descent
• 0.026 + - Probability
• 0.022 + - SSH tunneling
• 0.020 + - Rob Schapire
• 0.018 + - Yoav Freund
• 0.018 + - Data science
• 0.017 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.011 + - David Feldman
• 0.010 + - David MacKay
• 0.010 + - Learning
• 0.010 + - Future of work
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - Cross entropy

Negative matches

• 0.029 + - Class imbalance
• 0.017 + - Data analysis
• 0.016 + - Natural language processing
• 0.015 + - tf-idf
• 0.012 + - Text analysis
• 0.009 + - Pointwise mutual information
• 0.009 + - NLP
• 0.007 + - Convolutional neural network
• 0.003 + - StanfordNLP
• 0.003 + - CNN
• 0.002 + - spaCy
• 0.002 + - KoNLPy
• 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