Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Cross entropy +Lexical feature selection +Gradient descent -Natural language processing"

Positive matches

• 0.039 + - Neural network
• 0.037 + - Pointwise mutual information
• 0.036 + - Simpson's paradox
• 0.027 + - Neuron
• 0.025 + - Jupyter/notebook
• 0.023 + - Poker
• 0.022 + - tf-idf
• 0.020 + - Ron Meir
• 0.019 + - Yoav Freund
• 0.019 + - Rob Schapire
• 0.019 + - Text analysis
• 0.018 + - Data analysis
• 0.014 + - Python
• 0.013 + - Data science
• 0.013 + - SSH tunneling
• 0.013 + - IPython
• 0.011 + - Recommender system
• 0.011 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David Feldman
• 0.010 + - David MacKay

Negative matches

• 0.016 + - CNN
• 0.006 + - Residual Learning
• 0.005 + - Residual leanrning
• 0.004 + - RNN
• 0.004 + - Class imbalance problem
• 0.003 + - BERT
• 0.003 + - Word segmentation
• 0.003 + - Long short-term memory
• 0.003 + - Word embedding
• 0.003 + - Topic modeling
• 0.003 + - scispaCy
• 0.002 + - Attention (Deep learning)
• 0.002 + - Machine translation
• 0.002 + - Dialog act
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - KoNLPy
• 0.002 + - Sentence embedding
• 0.002 + - Paper/Gatys2015
• 0.002 + - Cecilia Mascolo
• 0.002 + - Continuous embedding