Machine tools :, Wasim Ahmed Khan, Khalid Rahman, Ghulam
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 1493938436 ISBN-13(EAN): 9781493938438 Издательство: Springer Рейтинг: Цена: 11424.00 р. Наличие на складе: Ожидается поступление.
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.
Описание: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
Автор: Agrawal Rashmi, Paprzycki Marcin, Gupta Neha Название: Big Data, IoT, and Machine Learning: Tools and Applications ISBN: 0367531216 ISBN-13(EAN): 9780367531218 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.
This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.
Features
Addresses the complete data science technologies workflow
Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning
Covers data processing and security solutions in IoT and Big Data applications
Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems
Presents security issues and data migration techniques of NoSQL databases
Are you excited about Artificial Intelligence and want to get started?Are you excited about Machine Learning and want to learn how to implement in Python?
The book below is the answer.
Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc. analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine Learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great programming language for beginners.
Python is a great language that is commonly used with Machine Learning. Python is used extensively in Mathematics, Gaming and Graphic Design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.
Here's What's Included In This Book:
What is Machine Learning?
Why use Python?
Regression Analysis using Python with an example
Clustering Analysis using Python with an example
Implementing an Artificial Neural Network
Backpropagation
90 Day Plan to Learn and Implement Machine Learning
Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.
Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.
Описание: This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.
Название: Functional reverse engineering of machine tools ISBN: 0367078031 ISBN-13(EAN): 9780367078034 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Нет в наличии.
Описание: This book is about capacity building in strategic and non-strategic machine tool technology. Chapters on how to functionally reverse engineer computer numerical control machinery are included. Areas such as Mechanical, Electrical, Control, Computer Hardware and Software Engineering are covered. Guidelines, and 13 case studies are offered.
Название: Functional reverse engineering of machine tools ISBN: 1032176946 ISBN-13(EAN): 9781032176949 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies.FeaturesPresents capacity building in machine tool developmentDiscusses engineering design for machine toolsCovers prototyping of strategic and non-strategic machine toolsIllustrates augmented reality for machine toolsIncludes Internet of Things (IoT) for machine tools
Описание: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
Автор: Norberto Lopez de Lacalle; Aitzol Lamikiz Mentxaka Название: Machine Tools for High Performance Machining ISBN: 1849967954 ISBN-13(EAN): 9781849967952 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors contributing to this volume describe in depth several aspects of machine structures, machine elements and control, and application. The basics, models and functions of each aspect are explained by experts from both academia and industry.
Описание: The history of Brown & Sharpe turns out to be not only an important technological and economic story, but also a fascinating human story. Joseph Brown, the founder, was a skilled clockmaker-turned-machine-maker who invented new machines, and new ways to make things, as needed. Samuel Darling was an eccentric inventor from Maine, a one-time competitor who joined the firm and brought with him his prized dividing engine. The Sharpes—Lucian, his son Henry, and grandson Henry, Jr.— guided the firm for more than a century, and shaped not only the company, but also the global machine tools industry. Gerald Carbone’s history of Brown & Sharpe tells these stories, bringing the people to life, putting them into the context of Rhode Island’s and the nation’s history, and the history of technology and the political economy of the United States. Brown & Sharpe’s story is the story of the American Industrial Revolution. But Carbone does much more than tell a dry story of machines and money, of innovative design and engineering, profit and loss. The real story here is the human one, encompassing more than a century-and-a-half of technological change, labor history, and public policy, culminating in history’s longest strike. How did the owners and managers negotiate the ever-changing economy, rapid technological change, changing expectations about work and pay? How did the men and women who worked at the firm learn their skills and organize their work to produce and market a dazzling array of measuring devices, sewing machines, machine tools? How did the firm help shape the city, the nation, indeed modernity as we live it today?
Автор: Nagarajan Rajganesh, Raj Pethuru, Thirunavukarasu Ramkumar Название: Operationalizing Multi-Cloud Environments: Technologies, Tools and Use Cases ISBN: 3030744019 ISBN-13(EAN): 9783030744014 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses various aspects of the multi-cloud paradigm. The initial portion of the book focuses on the motivations for the industry to embrace a multi-cloud option and the distinct business, technology, and user cases of multi-cloud implementations.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
