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Introduction to pattern recognition and machine learning, Fieguth, Paul


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Цена: 12577.00р.
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Автор: Fieguth, Paul
Название:  Introduction to pattern recognition and machine learning
ISBN: 9783030959937
Издательство: Springer
Классификация:





ISBN-10: 3030959937
Обложка/Формат: Hardback
Страницы: 471
Вес: 0.90 кг.
Дата издания: 02.09.2022
Серия: Advances in critical zone science
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 159 tables, color; 265 illustrations, color; 5 illustrations, black and white; xxii, 471 p. 270 illus., 265 illus. in color.; 159 tables, color; 265 i
Размер: 161 x 242 x 37
Читательская аудитория: Professional & vocational
Подзаголовок: Proceedings of the 12th and of the 13th international workshop on parallel tools for high performance computing, stuttgart, germany, september 2018, and dresden, germany, september 2019
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering.


Автор: Abraham Kierszenbaum, Laura Tres
Название: Histology and Cell Biology: An Introduction to Pathology, 5 Ed
ISBN: 032367321X ISBN-13(EAN): 9780323673211
Издательство: Elsevier Science
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Цена: 10441.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Linking basic science to clinical application throughout, Histology and Cell Biology: An Introduction to Pathology, 5th Edition, helps students build a stronger clinical knowledge base in the challenging area of pathologic abnormalities. This award-winning text presents key concepts in an understandable, easy-to-understand manner, with full-color illustrations, diagrams, photomicrographs, and pathology photos fully integrated on every page. Student-friendly features such as highlighted clinical terms, Clinical Conditions boxes, Essential Concepts boxes, concept mapping animations, and more help readers quickly grasp complex information.

Features new content on cancer immunotherapy, satellite cells and muscle repair, vasculogenesis and angiogenesis in relation to cancer treatment, and mitochondria replacement therapies. Presents new material on ciliogenesis, microtubule assembly and disassembly, chromatin structure and condensation, and X chromosome inactivation, which directly impact therapy for ciliopathies, infertility, cancer, and Alzheimer's disease. Provides thoroughly updated information on gestational trophoblastic diseases, molecular aspects of breast cancer, and basic immunology, including new illustrations on the structure of the T-cell receptor, CD4+ cells subtypes and functions, and the structure of the human spleen.

Uses a new, light green background throughout the text to identify essential concepts of histology - a feature requested by both students and instructors to quickly locate which concepts are most important for beginning learners or when time is limited. These essential concepts are followed by more detailed information on cell biology and pathology. Contains new Primers in most chapters that provide a practical, self-contained integration of histology, cell biology, and pathology - perfect for clarifying the relationship between basic and clinical sciences.

Identifies clinical terms throughout the text and lists all clinical boxes in the table of contents for quick reference. Helps students understand the links between chapter concepts with concept mapping animations on Student ConsultT - an outstanding supplement to in-class instruction. Student ConsultT eBook version included with purchase.

This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.

Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The Muqaddimah: An Introduction to History

Автор: Ibn Khaldun
Название: The Muqaddimah: An Introduction to History
ISBN: 0691166285 ISBN-13(EAN): 9780691166285
Издательство: Wiley
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Цена: 3168.00 р.
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Описание: The Muqaddimah, often translated as "Introduction" or "Prolegomenon," is the most important Islamic history of the premodern world. Written by the great fourteenth-century Arab scholar Ibn Khaldun (d. 1406), this monumental work established the foundations of several fields of knowledge, including the philosophy of history, sociology, ethnography,

Pathophysiology of Heart Disease: An Introduction to Cardiovascular Medicine, Edition: 7

Автор: Leonard S. Lilly
Название: Pathophysiology of Heart Disease: An Introduction to Cardiovascular Medicine, Edition: 7
ISBN: 1975152174 ISBN-13(EAN): 9781975152178
Издательство: Lippincott Williams & Wilkins
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Цена: 8738.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Enthusiastically acclaimed by medical students and faculty worldwide, this text is specifically designed to prepare students for their first encounters with patients with cardiovascular disease. Thoroughly revised by internationally recognized Harvard Medical School faculty and a team of select cardiology fellows and internal medicine residents, this seventh edition equips students with a clear, complete, and clinically relevant understanding of cardiovascular pathophysiology, setting a strong foundation for patient diagnosis and management. New seventh edition highlights:Review questions and answers in each chapter prepare students for course and board exams.

New contributors include cardiology fellows and internal medicine residents, who worked closely with faculty to extend coverage of clinically pertinent issues for medical students. Updated content reflects the latest understanding of mechanisms of cardiac disease and technological advances. Classic student-friendly features:Full-color illustrations help readers visualize and quickly grasp key concepts.

Medical imaging and color clinical photographs show real-world examples of many clinically relevant cardiovascular conditions. Introductory chapter outlines and end-of-chapter summaries provide organized, quick review of core information. Bonus online study tools:Animations help support understanding of complex, dynamic disease processes.

Interactive question bank reinforces learning and improves retention.

Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Introduction to Modern Economic Growth

Автор: Acemoglu, Daron
Название: Introduction to Modern Economic Growth
ISBN: 0691132925 ISBN-13(EAN): 9780691132921
Издательство: Wiley
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Цена: 8712.00 р.
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Описание: Gives graduate student`s tools to analyze growth and related macroeconomic problems, and also perspective needed to apply those tools to the big-picture questions of growth and divergence. In this title, the author introduces economic and mathematical foundations of modern growth theory and macroeconomics in a rigorous and easy to follow manner.

Introduction to Machine Learning with Python

Автор: Guido Sarah
Название: Introduction to Machine Learning with Python
ISBN: 1449369413 ISBN-13(EAN): 9781449369415
Издательство: Wiley
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Цена: 9502.00 р.
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Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Introduction to Dental Materials, 4 ed.- Elsevier Science, 2013

Автор: Van Noort, Richard
Название: Introduction to Dental Materials, 4 ed.- Elsevier Science, 2013
ISBN: 0723436592 ISBN-13(EAN): 9780723436591
Издательство: Elsevier Science
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Цена: 9136.00 р.
Наличие на складе: Поставка под заказ.

Описание: Suitable for undergraduate revision and exam preparation, this book presents dental material science in an accessible, easy-to-read format perfectly tailored to the needs of the busy dental student. It covers the basic science, clinical dental materials and laboratory materials used in the construction of fixed and removable prostheses.

Machine Learning Fundamentals: A Concise Introduction

Автор: Jiang Hui
Название: Machine Learning Fundamentals: A Concise Introduction
ISBN: 1108837042 ISBN-13(EAN): 9781108837040
Издательство: Cambridge University Press
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Цена: 21691.00 р.
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Описание: This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.

Introduction to the Theory of Computation

Автор: Sipser Michael
Название: Introduction to the Theory of Computation
ISBN: 113318779X ISBN-13(EAN): 9781133187790
Издательство: Cengage Learning
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Цена: 18174.00 р.
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Описание: Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars.

You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

Machine Learning Fundamentals: A Concise Introduction

Автор: Hui Jiang
Название: Machine Learning Fundamentals: A Concise Introduction
ISBN: 1108940021 ISBN-13(EAN): 9781108940023
Издательство: Cambridge Academ
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Цена: 7128.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.


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