Introduction to Algorithms for Data Mining and Machine Learning
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27 352 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 19 June 2019
- ISBN 9780128172162
- Binding Paperback
- No. of pages188 pages
- Size 228x152 mm
- Weight 320 g
- Language English 0
Categories
Long description:
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.
MoreTable of Contents:
1. Introduction2. Mathematical Foundations3. Data Fitting and Method of Least Squares4. Logistic Regression and PCA5. Data Mining6. Artificial Neural Networks7. Support Vector Machine8. Deep Learning
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