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 +Recommender system +Python -Jupyter/notebook +Artemy Kolchinsky -Gradient descent"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Probability, Paradox, and the Reasonable Person Principle
- Recommender system
- Python
- Artemy Kolchinsky
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Positive matches
- 0.050 + - Lexical feature selection
- 0.046 + - Probability
- 0.035 + - Netflix prize
- 0.033 + - Simpson's paradox
- 0.018 + - Yoav Freund
- 0.018 + - Ron Meir
- 0.018 + - Rob Schapire
- 0.015 + - Pajek
- 0.014 + - Poker
- 0.011 + - Learning
- 0.010 + - Privacy and Deanonymization
- 0.010 + - Information Theory, Inference, and Learning Algorithms
- 0.010 + - David MacKay
- 0.010 + - David Feldman
- 0.010 + - Cross entropy
- 0.008 + - Pointwise mutual information
- 0.008 + - Gibbs' inequality
- 0.008 + - Kullback–Leibler divergence
- 0.008 + - Future of work
- 0.008 + - Class imbalance problem
Negative matches
- 0.033 + - Neural network
- 0.030 + - Neuron
- 0.012 + - Jupyter
- 0.002 + - word2vec
- 0.002 + - Recurrent neural network
- 0.002 + - Neural Turing machine
- 0.002 + - Jack Terwilliger
- 0.002 + - Ilya Sutskever
- 0.002 + - Liquid state machine
- 0.001 + - Stability selection
- 0.001 + - Paper/Hamilton2016
- 0.001 + - Paper/Graves2014NTM
- 0.000 + - Natural language processing
- 0.000 + - SSH
- 0.000 + - Dimensionality reduction