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System Design for Epidemics Using Machine Learning and Deep Learning, Kanagachidambaresan


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Цена: 167700.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 3 шт.  Склад Америка: 231 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября

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Автор: Kanagachidambaresan   (Канагачидамбаресан)
Название:  System Design for Epidemics Using Machine Learning and Deep Learning
Перевод названия: Канагачидамбаресан: Системный дизайн для эпидемий с использованием машинного обучения и глубокого об
ISBN: 9783031197512
Издательство: Springer
Классификация:


ISBN-10: 3031197518
Обложка/Формат: Hardback
Страницы: 325
Вес: 0.69 кг.
Дата издания: 16.02.2023
Серия: Signals and communication technology
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 130 illustrations, color; 34 illustrations, black and white; xxii, 325 p. 164 illus., 130 illus. in color.
Размер: 241 x 164 x 25
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
Дополнительное описание: 1. Pandemic effect of COVID-19: Identification, Present scenario and preventive measures using Machine learning model..- 2. A Comprehensive Review of the Smart Health Records to prevent Pandemic.- 3. Automation of COVID-19 Disease Diagnosis from Radiograp


Mastering TensorFlow

Автор: Fandango Armando
Название: Mastering TensorFlow
ISBN: 1788292065 ISBN-13(EAN): 9781788292061
Издательство: Неизвестно
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Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet

Controlling Epidemics with Mathematical and Machine Learning Models

Автор: Abraham Varghese, Eduardo M. Lacap, Ibrahim Sajath, Kamal Kumar, Shajidmon Kolamban
Название: Controlling Epidemics with Mathematical and Machine Learning Models
ISBN: 1668478846 ISBN-13(EAN): 9781668478844
Издательство: Mare Nostrum (Eurospan)
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Цена: 235620.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. The book gives mathematical proof of the stability and size of diseases, and covers topics such as compartmental models, reproduction number, and SIR model simulation.

Healthcare Informatics for Fighting Covid-19 and Future Epidemics

Автор: Garg Lalit, Chakraborty Chinmay, Mahmoudi Saпd
Название: Healthcare Informatics for Fighting Covid-19 and Future Epidemics
ISBN: 3030727513 ISBN-13(EAN): 9783030727512
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak.

Data Exploration Using Example-Based Methods

Автор: Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
Название: Data Exploration Using Example-Based Methods
ISBN: 1681734575 ISBN-13(EAN): 9781681734576
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
Наличие на складе: Невозможна поставка.
Описание: Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicated declarative languages (such as SQL) and mechanisms, while at the same time retaining the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or analyst, circumvents query languages by using examples as input. An example is a representative of the intended results or, in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind but may not be able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when they are performing a particularly challenging task like finding duplicate items, or when they are simply exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how different data types require different techniques and present algorithms that are specifically designed for relational, textual, and graph data. The book also presents the challenges and new frontiers of machine learning in online settings that have recently attracted the attention of the database community. The book concludes with a vision for further research and applications in this area.

Data Exploration Using Example-Based Methods

Автор: Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
Название: Data Exploration Using Example-Based Methods
ISBN: 1681734559 ISBN-13(EAN): 9781681734552
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 66530.00 T
Наличие на складе: Невозможна поставка.
Описание: Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicated declarative languages (such as SQL) and mechanisms, while at the same time retaining the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or analyst, circumvents query languages by using examples as input. An example is a representative of the intended results or, in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind but may not be able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when they are performing a particularly challenging task like finding duplicate items, or when they are simply exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how different data types require different techniques and present algorithms that are specifically designed for relational, textual, and graph data. The book also presents the challenges and new frontiers of machine learning in online settings that have recently attracted the attention of the database community. The book concludes with a vision for further research and applications in this area.

Application of Machine Learning and Deep Learning Methods to Power System Problems

Автор: Nazari-Heris Morteza, Asadi Somayeh, Mohammadi-Ivatloo Behnam
Название: Application of Machine Learning and Deep Learning Methods to Power System Problems
ISBN: 3030776956 ISBN-13(EAN): 9783030776954
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems.

Hands-On Unsupervised Learning with Python

Автор: Bonaccorso Giuseppe
Название: Hands-On Unsupervised Learning with Python
ISBN: 1789348277 ISBN-13(EAN): 9781789348279
Издательство: Неизвестно
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Цена: 63750.00 T
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Описание: Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.

Python Machine Learning: The Complete Beginners Guide to Programming and Deep Learning, Data Science and Artificial Intelligence Using Scikit-L

Автор: Kevin Howey
Название: Python Machine Learning: The Complete Beginners Guide to Programming and Deep Learning, Data Science and Artificial Intelligence Using Scikit-L
ISBN: 1802282076 ISBN-13(EAN): 9781802282078
Издательство: Неизвестно
Рейтинг:
Цена: 22980.00 T
Наличие на складе: Нет в наличии.
Описание:

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Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer

Автор: Audevart Alexia, Banachewicz Konrad, Massaron Luca
Название: Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer
ISBN: 1800208863 ISBN-13(EAN): 9781800208865
Издательство: Неизвестно
Рейтинг:
Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to guide you through TensorFlow 2 and how to use it effectively. Throughout the book, you will work through recipes and get hands-on experience to perform complex data computations, gain insights into your data, and more.

Building Machine Learning Systems with Python. - Third Edition: Explore machine learning and deep learning techniques for building intelligent systems

Автор: Coelho Luis Pedro, Richert Willi, Brucher Matthieu
Название: Building Machine Learning Systems with Python. - Third Edition: Explore machine learning and deep learning techniques for building intelligent systems
ISBN: 1788623223 ISBN-13(EAN): 9781788623223
Издательство: Неизвестно
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Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning allows models or systems to learn without being explicitly programmed. You will see how to use the best of libraries support such as scikit-learn, Tensorflow and much more to build efficient smart systems.

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
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Цена: 60070.00 T
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.

Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques

Автор: Sharad Mangrulkar Ramchandra, Michalas Antonis, Shekokar Narendra
Название: Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
ISBN: 0367679795 ISBN-13(EAN): 9780367679798
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.


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