Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +Class imbalance +Gradient descent -Rob Schapire +Lexical feature selection +Poker +Jupyter/notebook +Neuron +tf-idf -Natural language processing"

Positive matches

• 0.086 + - Neural network
• 0.076 + - Probability, Paradox, and the Reasonable Person Principle
• 0.053 + - Class imbalance problem
• 0.036 + - Text analysis
• 0.033 + - Pointwise mutual information
• 0.028 + - Simpson's paradox
• 0.024 + - IPython
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.016 + - SSH tunneling
• 0.015 + - Data analysis
• 0.015 + - Yoav Freund
• 0.015 + - scikit-learn
• 0.014 + - Ron Meir
• 0.013 + - Gensim
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Data science
• 0.012 + - Jupyter
• 0.012 + - Python
• 0.011 + - tfidf

Negative matches

• 0.009 + - CNN
• 0.005 + - Residual leanrning
• 0.004 + - RNN
• 0.003 + - Residual Learning
• 0.002 + - BERT
• 0.002 + - spaCy
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - Kyunghyun Cho
• 0.002 + - Word embedding
• 0.002 + - Archetype
• 0.002 + - Brain and deep learning
• 0.002 + - Dialog act
• 0.002 + - Sentence embedding
• 0.002 + - Meta learning
• 0.002 + - Paper/Gatys2015
• 0.001 + - KenLM
• 0.001 + - Shapes of Stories
• 0.001 + - Word segmentation
• 0.001 + - Research advices
• 0.001 + - BookNLP