Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Class imbalance +Information Theory, Inference, and Learning Algorithms +Jupyter/notebook +Lexical feature selection +Recommender system +Pointwise mutual information -Netflix prize -Natural language processing"

Positive matches

• 0.069 + - Probability, Paradox, and the Reasonable Person Principle
• 0.056 + - Class imbalance problem
• 0.047 + - Books
• 0.047 + - Text analysis
• 0.028 + - Data analysis
• 0.028 + - Simpson's paradox
• 0.024 + - Poker
• 0.022 + - Gradient descent
• 0.022 + - IPython
• 0.019 + - tf-idf
• 0.019 + - Paper/MacKay1991
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.015 + - Ron Meir
• 0.014 + - SSH tunneling
• 0.012 + - Artemy Kolchinsky
• 0.012 + - SSH
• 0.012 + - Jupyter

Negative matches

• 0.010 + - CNN
• 0.005 + - Residual Learning
• 0.004 + - RNN
• 0.003 + - Residual leanrning
• 0.002 + - Research advices
• 0.002 + - BERT
• 0.002 + - Topic modeling
• 0.002 + - scispaCy
• 0.002 + - Sentiment analysis
• 0.002 + - Long short-term memory
• 0.002 + - BookNLP
• 0.001 + - Christopher D. Manning
• 0.001 + - NLP
• 0.001 + - Machine translation
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Gatys2015
• 0.001 + - Word embedding
• 0.001 + - KoNLPy
• 0.001 + - fastText
• 0.001 + - KenLM