Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Deep learning +Residual leanrning +Gradient descent +IPython notebook +Paradox +Tom M. MItchell -Dimensionality reduction"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Machine learning
- Carlos Guestrin
- Class imbalance
- Poker
- Python
- Deep learning
- Residual leanrning
- Gradient descent
- IPython notebook
- Paradox
- Tom M. MItchell
but not related to:
Positive matches
- 0.061 + - Residual Learning
- 0.046 + - Probability, Paradox, and the Reasonable Person Principle
- 0.035 + - Neural network
- 0.029 + - Simpson's paradox
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- 0.021 + - Jupyter/notebook
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- 0.008 + - GraphLab
- 0.008 + - Artificial neural network
- 0.007 + - SSH
- 0.007 + - Naive Bayes classifier
- 0.007 + - Geovisualization
- 0.007 + - Recommender system
Negative matches
- 0.027 + - tSNE
- 0.016 + - Flocking
- 0.007 + - Leland McInnes
- 0.007 + - UMAP
- 0.007 + - Isomap
- 0.006 + - MDS
- 0.006 + - LargeVis
- 0.006 + - PCA
- 0.006 + - t-SNE
- 0.002 + - Collective behavior
- 0.001 + - Principal component analysis
- 0.001 + - Mike Bostock
- 0.001 + - Nikolay Oskolkov
- 0.001 + - Lynne J. Williams
- 0.001 + - Collective intelligence
- 0.000 + - Hervé Abdi
- 0.000 + - Topological data analysis
- 0.000 + - Lior Pachter
- 0.000 + - Bee colony
- 0.000 + - Cosma Shalizi