PDF [DOWNLOAD] Fundamentals of Machine Learning
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies. John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Fundamentals-of-Machine.pdf
ISBN: 9780262044691 | 856 pages | 22 Mb
- Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
- John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
- Page: 856
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780262044691
- Publisher: MIT Press
Ebook for mobile download Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
Overview
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning. The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.
More eBooks:
DOWNLOAD [PDF] {EPUB} My Sweet Orange Tree by Jose Mauro de Vasconcelos
[PDF EPUB] Download When Supernatural Battles Became Commonplace: Volume 10 by Kota Nozomi, 029, Kengo Saito, Tristan K. Hill Full Book
DOWNLOAD [PDF] {EPUB} Yarichin Bitch Club, Vol. 4 by
HOMBRES BUENOS leer epub gratis
[PDF/Kindle] Lonely Planet Japan Planning Map 2 by Lonely Planet
[PDF EPUB] Download Tune In: How to make smarter decisions in a noisy world by Nuala Walsh Full Book
EL PODER LO TIENES TÚ EBOOK | CORAL MUJAES | Descargar libro PDF EPUB
EL AGUILA DEL IMPERIO (LIBRO I DE QUINTO LICINIO CATO: DE LEGIONARIO A OPTIO) leer epub gratis
The Ballad of Songbirds and Snakes by Suzanne Collins on Audiobook New