Applied machine learning /
Published by : Springer (Switzerland) Physical details: xxi, 494 pages ; 27 cm ISBN:9783030181161.
Book
| Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Riara University Library General stack | Q325.5.F67 2019 (Browse shelf (Opens below)) | C.1 | Checked out | 25/04/2026 | 10750/25 | |
| Riara University Library General stack | Q325.5.F67 2019 (Browse shelf (Opens below)) | C.2 | Available | 10751/25 |
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| Q295.B423 1981 Systems Behaviour | Q325.5.A46 2014 Introduction to machine learning / | Q325.5.A46 2014 Introduction to machine learning / | Q325.5.F67 2019 Applied machine learning / | Q325.5.F67 2019 Applied machine learning / | Q325.5.M64 2012 Foundations of machine learning / | Q325.5.M64 2012 Foundations of machine learning / |
Introduction -- Supervised learning: rationale and basics -- Statistical learning -- Learning with Support Vector Machines (SVM) -- Learning with Neural Networks (NN) -- Fuzzy inference systems -- Data clustering and data transformations -- Decision tree learning -- Business intelligence and data mining : techniques and applications -- Appendix A: Genetic Algorithm (GA) for search optimization -- Appendix B: Reinforcement Learning (RL) -- Datasets from real-life applications for machine learning experiments -- Problems.
"This comprehensive textbook explores the theoretical underpinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, acurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical syle, the book covers a broad array of machine learning ropics with special emphasis on methods that have been profitably employed." -- back cover.
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