Practical statistical learning data (52 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - Unlock the full potential of R-from classical statistical learning to cutting-edge Generative AI. Whether you're a student beginning your data science journey, a researcher conducting advanced analytics, or a working professional building enterprise AI solutions, this book provides a practical, hands-on roadmap to mastering data mining, machine learning, deep learning, and Generative AI using R. Unlike traditional R programming books that focus only on syntax or statistical theory, this comprehensive guide bridges the gap between academic concepts and real-world enterprise applications. Through practical examples, industry case studies, and production-ready R code, you'll learn how modern AI solutions are designed, developed, and deployed. Inside this book, you'll explore: - Build a strong foundation in R programming for data analytics and AI.- Understand regression, classification, clustering, and dimensionality reduction techniques.- Implement decision trees, random forests, boosting, K-Nearest Neighbors, Naïve Bayes, and association rule mining.- Develop deep learning models using neural networks, TensorFlow, and Keras in R.- Learn the fundamentals of Generative AI, Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).- Apply AI techniques to real-world business problems in banking, healthcare, retail, and customer analytics.- Evaluate model performance using industry-standard metrics and best practices.- Explore Responsible AI, model governance, and enterprise AI implementation strategies.Follow complete, reproducible R code examples and hands-on projects throughout the book. What makes this book different - Practical, project-based learning approach- Enterprise-focused AI and analytics use cases- Step-by-step explanations suitable for beginners and professionals- Modern coverage of Deep Learning and Generative AI with R- Interview questions, exercises, and real-world case studies- Designed for both academic learning and industry applicationWho should read this book Data ScientistsAI & Machine Learning EngineersData AnalystsBusiness AnalystsUniversity StudentsResearchers and Doctoral CandidatesSoftware EngineersBanking and Financial Analytics Professionals>Whether your goal is to build predictive models, create intelligent applications, or understand the future of enterprise AI, this book equips you with the knowledge, practical skills, and confidence to transform data into intelligent decisions. Start your journey today-from statistical learning to enterprise-ready AI-with one of the world's most powerful open-source programming languages. …

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Zustand: New. This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. Series: Practical Guides to Biostatistics and Epidemiology. Num Pages: 298 pages, 47 b/w illus. 25 tables. BIC Classification: MBNS. Category: (U) Tertiary Education (US: College). Dimension: 247 x 175 x 19. Weight in Grams: 596. . 2011. Illustrated. paperback. . . . . …

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Zustand: New. This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. Series: Practical Guides to Biostatistics and Epidemiology. Num Pages: 298 pages, 47 b/w illus. 25 tables. BIC Classification: MBNS. Category: (U) Tertiary Education (US: College). Dimension: 247 x 175 x 19. Weight in Grams: 596. . 2011. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

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Zustand: New. This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. Series: Practical Guides to Biostatistics and Epidemiology. Num Pages: 298 pages, 47 b/w illus. 25 tables. BIC Classification: MBNS. Category: (U) Tertiary Education (US: College). Dimension: 253 x 174 x 24. Weight in Grams: 754. . 2011. 1st Edition. hardcover. . . . . …

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Taschenbuch. Zustand: Neu. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches | Theory and Practical Applications | Fouzi Harrou (u. a.) | Taschenbuch | Englisch | 2020 | Elsevier Inc | EAN 9780128193655 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

Zustand: As New. Unread book in perfect condition.

Zustand: New. This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. Series: Practical Guides to Biostatistics and Epidemiology. Num Pages: 298 pages, 47 b/w illus. 25 tables. BIC Classification: MBNS. Category: (U) Tertiary Education (US: College). Dimension: 253 x 174 x 24. Weight in Grams: 754. . 2011. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. …