Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Smart Applications with Advanced Machine Learning and Human-Centred Problem Design, Hemanth


Варианты приобретения
Цена: 27950.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: Есть  Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября

Добавить в корзину
в Мои желания

Автор: Hemanth   (Хемант)
Название:  Smart Applications with Advanced Machine Learning and Human-Centred Problem Design
Перевод названия: Хемант: Интеллектуальные приложения с передовым машинным обучением и проектированием проблем, ориент
ISBN: 9783031097522
Издательство: Springer
Классификация:

ISBN-10: 3031097521
Обложка/Формат: Hardback
Страницы: 790
Вес: 1.56 кг.
Дата издания: 16.01.2023
Серия: Engineering cyber-physical systems and critical infrastructures
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 287 illustrations, color; 64 illustrations, black and white; xli, 790 p. 351 illus., 287 illus. in color.
Размер: 244 x 162 x 45
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.


Deep Learning

Автор: Goodfellow Ian, Bengio Yoshua, Courville Aaron
Название: Deep Learning
ISBN: 0262035618 ISBN-13(EAN): 9780262035613
Издательство: MIT Press
Рейтинг:
Цена: 13543.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject."
-- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.

Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

The Essentials of machine learning in finance and accounting

Автор: Mohammad Zoynul Abedin
Название: The Essentials of machine learning in finance and accounting
ISBN: 0367480816 ISBN-13(EAN): 9780367480813
Издательство: Taylor&Francis
Рейтинг:
Цена: 5358.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.

Advanced Machine Vision Paradigms For Medical Image Analysis

Автор: Gandhi, Tapan K.
Название: Advanced Machine Vision Paradigms For Medical Image Analysis
ISBN: 012819295X ISBN-13(EAN): 9780128192955
Издательство: Elsevier Science
Рейтинг:
Цена: 19875.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to unstructured nature of medical imaging data and the volume of data produced during routine clinical process, the applicability of these meta-heuristic algorithms remains to be investigated.

Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to the already high medical costs.

Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
Рейтинг:
Цена: 9010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

Mastering Machine Learning with R

Автор: Lesmeister Cory
Название: Mastering Machine Learning with R
ISBN: 1789618002 ISBN-13(EAN): 9781789618006
Издательство: Неизвестно
Рейтинг:
Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine learning is a field of AI where we build systems that learn from data. This book explains complicated concepts with real-world applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints. Finally, it will walk you through topics such as text analysis, time series, and deep learning.

Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3319134604 ISBN-13(EAN): 9783319134604
Издательство: Springer
Рейтинг:
Цена: 11460.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. machine learning in watermarking/authentication and virtual machines;

Machine Learning and Its Applications

Автор: Georgios Paliouras; Vangelis Karkaletsis; Constant
Название: Machine Learning and Its Applications
ISBN: 3540424903 ISBN-13(EAN): 9783540424901
Издательство: Springer
Рейтинг:
Цена: 7400.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Examining the capabilities of machine learning methods and ideas on how they apply to real-world problems, this text assesses machine learning, then introduces applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, and user modelling.

Machine Learning and Data Mining for Computer Security

Автор: Marcus A. Maloof
Название: Machine Learning and Data Mining for Computer Security
ISBN: 1849965447 ISBN-13(EAN): 9781849965446
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: "Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security.

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Автор: Hassanien
Название: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
ISBN: 3319746898 ISBN-13(EAN): 9783319746890
Издательство: Springer
Рейтинг:
Цена: 55901.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22-24, 2018, and organized by the Scientific Research Group in Egypt (SRGE).

Kissell - The Science of Algorithmic Trading, 2e

Автор: Kissell, Robert
Название: Kissell - The Science of Algorithmic Trading, 2e
ISBN: 0128156309 ISBN-13(EAN): 9780128156308
Издательство: Elsevier Science
Рейтинг:
Цена: 13304.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The Science of Algorithmic Trading and Portfolio Management, Second Edition includes new chapters and new subjects. Increasing its focus on trading strategies and methods, it includes new insights about the evolution of financial markets, pre-trade models and post-trade analysis, liquidation cost and risk analysis required for regulatory reporting, and compliance and regulatory reporting requirements. Highlighting new investment styles, it adds new material on best execution processes for investors and brokers, including model validation, quality and assurance, limit order model testing, and smart order model testing. Using basic programming tools such as Excel, MATLAB, and Python, it provides a process to create TCA low cost exchange traded funds.

  • Provides insights into all necessary components of algorithmic trading, including transaction costs analysis, market impact, risk and optimization, and a thorough and detailed discussion of trading algorithms
  • Includes increased coverage of mathematics, statistics and machine learning
  • Presents broad coverage of Alpha Model construction
Tensorflow Machine Learning Projects

Автор: Jain Ankit, Fandango Armando, Kapoor Amita
Название: Tensorflow Machine Learning Projects
ISBN: 1789132215 ISBN-13(EAN): 9781789132212
Издательство: Неизвестно
Рейтинг:
Цена: 7171.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will show you how to take advantage of TensorFlow`s most appealing features - simplicity, efficiency, and flexibility - in various scenarios. You will gain cutting-edge insights into using TensorFlow`s offerings for your problems and learn practical hacks to successfully implement real-world machine learning projects.

Mastering Machine Learning on AWS

Автор: Mengle Saket S. R., Gurmendez Maximo
Название: Mastering Machine Learning on AWS
ISBN: 1789349796 ISBN-13(EAN): 9781789349795
Издательство: Неизвестно
Рейтинг:
Цена: 7171.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will help you master your skills in various artificial intelligence and machine learning services available on AWS. Through practical hands-on examples, you`ll learn how to use these services to generate impressive results. You will have a tremendous understanding of how to use a wide range of AWS services in your own organization.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия