Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Recommender system +Artemy Kolchinsky -Poker +Lexical feature selection -Natural language processing"

Positive matches

• 0.060 + - Probability, Paradox, and the Reasonable Person Principle
• 0.046 + - Class imbalance
• 0.041 + - Class imbalance problem
• 0.037 + - Netflix prize
• 0.036 + - Simpson's paradox
• 0.028 + - IPython
• 0.026 + - Probability
• 0.025 + - SSH tunneling
• 0.024 + - Data analysis
• 0.022 + - Pointwise mutual information
• 0.020 + - Text analysis
• 0.020 + - Ron Meir
• 0.020 + - Rob Schapire
• 0.020 + - Yoav Freund
• 0.019 + - Gradient descent
• 0.017 + - tf-idf
• 0.015 + - Python
• 0.015 + - Data science
• 0.015 + - Jupyter
• 0.013 + - Future of work

Negative matches

• 0.014 + - CNN
• 0.007 + - Paper/Gatys2015
• 0.006 + - RNN
• 0.005 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.003 + - BERT
• 0.003 + - KenLM
• 0.003 + - Long short-term memory
• 0.003 + - Kyunghyun Cho
• 0.003 + - Word embedding
• 0.003 + - Convolutional neural network
• 0.002 + - Topic modeling
• 0.002 + - scispaCy
• 0.002 + - KoNLPy
• 0.002 + - String metric
• 0.002 + - Christopher D. Manning
• 0.002 + - Cecilia Mascolo
• 0.002 + - Musical composition
• 0.002 + - Amazon Elastic Compute Cloud
• 0.001 + - Research advices