Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Class imbalance problem +Data science +Industry-Academic Partnership +Class imbalance +Lexical feature selection +Data analysis -Artemy Kolchinsky -Natural language processing"

Positive matches

• 0.074 + - Science
• 0.057 + - Probability, Paradox, and the Reasonable Person Principle
• 0.042 + - Interdisciplinary research
• 0.029 + - Simpson's paradox
• 0.025 + - Probability
• 0.025 + - IPython
• 0.023 + - Poker
• 0.023 + - Text analysis
• 0.023 + - Computational social science
• 0.019 + - tf-idf
• 0.018 + - Pointwise mutual information
• 0.018 + - SSH tunneling
• 0.016 + - Yoav Freund
• 0.016 + - Ron Meir
• 0.016 + - Rob Schapire
• 0.016 + - Gradient descent
• 0.013 + - Jupyter
• 0.012 + - SSH
• 0.011 + - Science policy
• 0.010 + - Python

Negative matches

• 0.011 + - CNN
• 0.005 + - Residual Learning
• 0.005 + - RNN
• 0.003 + - Residual leanrning
• 0.002 + - BERT
• 0.002 + - scispaCy
• 0.002 + - Sentiment analysis
• 0.002 + - Topic modeling
• 0.002 + - Long short-term memory
• 0.002 + - spaCy
• 0.002 + - NLP
• 0.002 + - Word embedding
• 0.001 + - Topic model
• 0.001 + - Machine translation
• 0.001 + - Dialog act
• 0.001 + - Cecilia Mascolo
• 0.001 + - Christopher D. Manning
• 0.001 + - Paper/Cooijmans2016
• 0.001 + - KenLM
• 0.001 + - Word segmentation