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Machine Learning (2021)
by Machine Learning (2021)
$61.72
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Description
1 Introduction.- 2 Model Selection and Evaluation.- 3 Linear Models.- 4 Decision Trees.- 5 Neural Networks.- 6 Support Vector Machine.- 7 Bayes Classifiers.- 8 Ensemble Learning.- 9 Clustering.- 10 Dimensionality Reduction and Metric Learning.- 11 Feature Selection and Sparse Learning.- 12 Computational Learning Theory.- 13 Semi-Supervised Learning.- 14 Probabilistic Graphical Models.- 15 Rule Learning.- 16 Reinforcement Learning.
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Product Details
- Springer Brand
- Aug 22, 2022 Pub Date:
- 9789811519697 ISBN-13:
- 9811519692 ISBN-10:
- English Language
- 9 in * 1.25 in * 6.25 in Dimensions:
- 2 lb Weight:
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