Deep Learning Techniques for Music Generation, Jean-Pierre Briot; Ga?tan Hadjeres; Fran?ois Pache
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: 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.
Автор: William Herring Название: Learning Radiology: Recognizing the Basics, 3rd Edition ISBN: 0323328075 ISBN-13(EAN): 9780323328074 Издательство: Elsevier Science Рейтинг: Цена: 6336.00 р. Наличие на складе: Поставка под заказ.
Описание: A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging modalities. Skilled radiology teacher William Herring, MD, masterfully covers exactly what you need to know to effectively interpret medical images of all modalities. Learn the latest on ultrasound, MRI, CT, patient safety, dose reduction, radiation protection, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images.
Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at Student Consult. Identify a wide range of common and uncommon conditions based upon their imaging findings. Arrive at diagnoses by following a pattern recognition approach, and logically overcome difficult diagnostic challenges with the aid of decision trees.
Quickly grasp the fundamentals you need to know through more than 700 images and an easy-to-use format and pedagogy, including: bolding of key points and icons designating special content; Diagnostic Pitfalls; Really, Really Important Points; Weblinks; and Take-Home Points. Gauge your mastery of the material and build confidence with extra images, bonus content, interactive self-assessment exercises, and USMLE-style Q&A that provide effective chapter review and quick practice for your exams. Apply the latest recommendations on patient safety, dose reduction and radiation protection Benefit from the extensive knowledge and experience of esteemed author Dr.
William Herring-a skilled radiology teacher and the host of his own specialty website, www.learningradiology.com. Stay current in the latest advancements and developments with meticulous updates throughout including a new chapter on Pediatric Radiology as well as more than 60 new and updated photos, many highlighting newer imaging modalities. Maximize your learning experience with interactive Student Consult extras videos/images of 3D images, functional imaging examinations, dynamic studies, and additional assessments.
Student Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, references, and videos from the book on a variety of devices.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: 3DTotal.com Название: Digital Painting Techniques ISBN: 0240521749 ISBN-13(EAN): 9780240521749 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Start your mentorship into the world of digital painting today with some of the greatest digital artists in the world and delve into professional digital painting techiques, such as speed painting, custom brush creation and matte painting.
Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
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.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Описание: Now in its Third Edition, Foot and Ankle, this popular volume in the Master Techniques in Orthopaedic Surgery series combines the step-by-step procedural guidance that readers have come to trust with fully updated material and new expert contributors. How-to format helps readers face each surgical challenge with confidence. Abundant intraoperative color photos and precise line drawings reveal areas not visible to the surgeon during a procedure. The book’s reader-friendly style is a great time-saver when searching for essential facts. The Third Edition features thirteen new chapters, international perspectives from four new authors from outside the United States, and contributions from two additional expert podiatrists. NEW to the Third Edition…• 13 NEW chapters provide detailed coverage of the latest procedures and techniques.• NEW international perspectives by four authors from outside the United States• NEW podiatrist contributors share their years of experience.
Автор: Francis Swarts; Pieter van Rooyen; Ian Oppermann; Название: CDMA Techniques for Third Generation Mobile Systems ISBN: 1461373212 ISBN-13(EAN): 9781461373216 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: CDMA Techniques for Third Generation Mobile Systems presents advanced techniques for analyzing and developing third generation mobile telecommunication systems.
Автор: Francis Swarts; Pieter van Rooyen; Ian Oppermann; Название: CDMA Techniques for Third Generation Mobile Systems ISBN: 0792383605 ISBN-13(EAN): 9780792383604 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: CDMA Techniques for Third Generation Mobile Systems presents advanced techniques for analyzing and developing third generation mobile telecommunication systems.
Автор: Robert Giegerich; S.L. Graham Название: Code Generation — Concepts, Tools, Techniques ISBN: 3540197575 ISBN-13(EAN): 9783540197577 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based upon the proceedings of a workshop on code generation, this volume evaluates current methods and indicates directions for future research. It discusses tools and techniques, code generation for parallel architectures, register allocation problems and formal methods.
Описание: Now part of the Master Techniques in Otolaryngology – Head and Neck Surgery series, Skull Base Surgery is the new go-to guide on common and advanced procedures in skull base surgery. Step-by-step expert instruction is offered on more than 45 procedures, covering both open and minimally invasive approaches to the skull base. It is a vital resource for students, generalist surgeons, and skull base specialists in otolaryngology and neurosurgery. Key Features: Authored by world-renowned experts and pioneers in open and endoscopic skull base approaches Chapters cover: introduction to each approach; history; physical examination; indications; contraindications; preoperative planning; surgical technique; postoperative management; complications; results; pearls and pitfalls; instruments to have available; and suggested readings Sections cover: sphenoid and parasellar regions; anterior cranial fossa; middle cranial fossa; posterior cranial fossa; and reconstruction Topics include: optic nerve decompression; endonasal approach to the sella; endoscopic endonasal approach to the medial cavernous sinus; endonasal transorbital approaches; cranialization of the frontal sinus; frontal sinus osteoplastic flap with and without obliteration; and anterior craniofacial resection More than 1,500 color photos and drawings of intraoperative images fully demonstrate the content Now with the print edition, enjoy the bundled interactive eBook edition, offering iOS, Android, Mac, and PC access to: Complete content with enhanced navigation A powerful search tool that pulls results from content in the book, your notes, and even the web Cross-linked pages, references, and more for easy navigation Highlighting tool for easier reference of key content throughout the text Ability to take and share notes with friends and colleagues Six step-by-step videos that outline the procedures covered in each chapter Quick-reference tabbing to save your favorite content for future use
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
