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 +Simpson's paradox +Class imbalance +Probability -Lexical feature selection"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Data science
- Simpson's paradox
- Class imbalance
- Probability
but not related to:
Positive matches
- 0.081 + - Probability, Paradox, and the Reasonable Person Principle
- 0.034 + - Poker
- 0.029 + - Computational social science
- 0.029 + - IPython
- 0.022 + - Probability theory
- 0.022 + - Probability distribution
- 0.019 + - SSH tunneling
- 0.018 + - Ron Meir
- 0.018 + - Yoav Freund
- 0.018 + - Rob Schapire
- 0.016 + - Python
- 0.016 + - Artemy Kolchinsky
- 0.015 + - Jupyter
- 0.013 + - Gradient descent
- 0.011 + - Industry-Academic Partnership
- 0.009 + - David MacKay
- 0.009 + - David Feldman
- 0.009 + - Cross entropy
- 0.008 + - Gibbs' inequality
- 0.008 + - Kullback–Leibler divergence
Negative matches
- 0.022 + - Data analysis
- 0.017 + - tf-idf
- 0.016 + - Natural language processing
- 0.011 + - Text analysis
- 0.008 + - Pointwise mutual information
- 0.005 + - Biomedical natural language processing
- 0.005 + - NLP
- 0.002 + - CNN
- 0.002 + - StanfordNLP
- 0.002 + - Convolutional neural network
- 0.002 + - NLTK
- 0.002 + - Sentiment analysis
- 0.002 + - Word segmentation
- 0.001 + - BookNLP
- 0.001 + - Recurrent neural network
- 0.001 + - String metric
- 0.001 + - Gensim
- 0.001 + - scispaCy
- 0.001 + - KenLM
- 0.001 + - Latent Dirichlet allocation