WELCOME TO THE LIBRARY!!!
What are you looking for Book "Knowledge Guided Machine Learning" ? Click "Read Now PDF" / "Download", Get it for FREE, Register 100% Easily. You can read all your books for as long as a month for FREE and will get the latest Books Notifications. SIGN UP NOW!
eBook Download
BOOK EXCERPT:
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Product Details :
Genre |
: Business & Economics |
Author |
: Anuj Karpatne |
Publisher |
: CRC Press |
Release |
: 2022-08-15 |
File |
: 442 Pages |
ISBN-13 |
: 9781000598100 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: Computers |
Author |
: Lorenza Saitta |
Publisher |
: Morgan Kaufmann Publishers |
Release |
: 1996 |
File |
: 580 Pages |
ISBN-13 |
: UVA:X004091471 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: |
Author |
: Douglas John Pearson |
Publisher |
: |
Release |
: 1996 |
File |
: 410 Pages |
ISBN-13 |
: UOM:39015041110456 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: Database management |
Author |
: |
Publisher |
: |
Release |
: 2002 |
File |
: 716 Pages |
ISBN-13 |
: UOM:39015047929776 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: Artificial intelligence |
Author |
: Ryszard Stanisław Michalski |
Publisher |
: |
Release |
: 1978 |
File |
: 50 Pages |
ISBN-13 |
: UIUC:30112121956616 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: Artificial intelligence |
Author |
: |
Publisher |
: |
Release |
: 1995 |
File |
: 196 Pages |
ISBN-13 |
: MINN:31951P00383517U |
eBook Download
BOOK EXCERPT:
Textbook includes both theories and programs, and covers all recognized AI work in sufficient detail to allow a critique from general concerns to be anchored, whenever possible, in the structure of specific AI programs. -- Amazon.com.
Product Details :
Genre |
: Computers |
Author |
: Derek Partridge |
Publisher |
: Intellect Books |
Release |
: 1991 |
File |
: 576 Pages |
ISBN-13 |
: UOM:39015019837254 |
eBook Download
BOOK EXCERPT:
Product Details :
Genre |
: Artificial intelligence |
Author |
: |
Publisher |
: |
Release |
: 1985 |
File |
: 270 Pages |
ISBN-13 |
: UOM:39015058768451 |
eBook Download
BOOK EXCERPT:
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This effective study guide provides 100% coverage of every topic on the challenging CCSK exam from the Cloud Security Alliance This highly effective self-study guide covers all domains of the challenging Certificate of Cloud Security Knowledge v4 exam. Written by a cloud security trainer and consultant in collaboration with the Cloud Security Alliance, CCSK Certificate of Cloud Security Knowledge All-in-One Exam Guide offers clear explanations, real-world examples, and practice questions that match the content and format of those on the actual exam. To aid in retention, each chapter includes exam tips that highlight key information, a review that serves as a quick recap of salient points, and practice questions that allow you to test your comprehension. Sample cloud policies and a glossary of key terms are also provided. COVERS ALL EXAM TOPICS, INCLUDING: • Cloud Computing Concepts and Architectures • Governance and Enterprise Risk Management • Legal Issues, Contracts, and Electronic Discovery • Compliance and Audit Management • Information Governance • Management Plane and Business Continuity • Infrastructure Security • Virtualization and Containers • Incident Response • Application Security • Data Security and Encryption • Identity, Entitlement, and Access Management • Security as a Service • Related Technologies • ENISA Cloud Computing: Benefits, Risks, and Recommendations for Information Security Online content includes: • 120 practice exam questions • Test engine that provides full-length practice exams and customizable quizzes by exam topic
Product Details :
Genre |
: Computers |
Author |
: Graham Thompson |
Publisher |
: McGraw Hill Professional |
Release |
: 2020-03-23 |
File |
: 368 Pages |
ISBN-13 |
: 9781260460094 |
eBook Download
BOOK EXCERPT:
The purpose of the Guide to the Software Engineering Body of Knowledge is to provide a validated classification of the bounds of the software engineering discipline and topical access that will support this discipline. The Body of Knowledge is subdivided into ten software engineering Knowledge Areas (KA) that differentiate among the various important concepts, allowing readers to find their way quickly to subjects of interest. Upon finding a subject, readers are referred to key papers or book chapters. Emphases on engineering practice lead the Guide toward a strong relationship with the normative literature. The normative literature is validated by consensus formed among practitioners and is concentrated in standards and related documents. The two major standards bodies for software engineering (IEEE Computer Society Software and Systems Engineering Standards Committee and ISO/IEC JTC1/SC7) are represented in the project.
Product Details :
Genre |
: Computers |
Author |
: Alain Abran |
Publisher |
: IEEE Computer Society Press |
Release |
: 2004 |
File |
: 224 Pages |
ISBN-13 |
: UOM:39015060855593 |