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Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Recommender system
- Artemy Kolchinsky
- Lexical feature selection
- Probability, Paradox, and the Reasonable Person Principle
- Data science
- Probability
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Positive matches
- 0.036 + - Class imbalance
- 0.030 + - Class imbalance problem
- 0.029 + - Netflix prize
- 0.028 + - Simpson's paradox
- 0.024 + - Computational social science
- 0.022 + - IPython
- 0.020 + - Gradient descent
- 0.019 + - Data analysis
- 0.019 + - Probability theory
- 0.019 + - Probability distribution
- 0.015 + - Yoav Freund
- 0.015 + - Ron Meir
- 0.014 + - SSH tunneling
- 0.012 + - Jupyter
- 0.011 + - Industry-Academic Partnership
- 0.010 + - Natural language processing
- 0.009 + - Python
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.009 + - David MacKay
- 0.008 + - David Feldman
Negative matches
- 0.011 + - tfidf
- 0.010 + - NLTK
- 0.010 + - Gensim
- 0.008 + - scikit-learn
- 0.001 + - Ilya Sutskever
- 0.001 + - Paper/Hamilton2016
- 0.001 + - CPython
- 0.001 + - sense2vec
- 0.001 + - Paper/Levy2014
- 0.001 + - WordRank
- 0.001 + - Paper/Levy2014a
- 0.000 + - TensorFlow
- 0.000 + - StanfordNLP
- 0.000 + - Tim Hopper
- 0.000 + - Orthogonal Procrustes problem
- 0.000 + - Clinical concept embedding
- 0.000 + - Text analysis
- 0.000 + - Thermostat
- 0.000 + - Paper
- 0.000 + - Python3