Название: Big Data Intelligence for Smart Applications
Автор: Youssef Baddi, Youssef Gahi, Yassine Maleh
Издательство: Springer
Год: 2022
Страниц: 343
Язык: английский
Формат: pdf (true), epub
Размер: 38.9 MB

Today, the use of Machine Intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in Big Data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through Machine Intelligence and Big Data models and techniques. This book is helpful for students and researchers as well as practitioners. It is worth noting that technologies such as Artificial intelligence and Big Data are evolving even faster. They are rapidly growing by holding great promise for many sectors. The real revolutionary potential of these technologies mainly relies on their convergence. Big Data and Artificial Intelligence are two technologies that are inextricably linked, to the point that we can think about Big Data Intelligence. AI has become ubiquitous in many industries where intelligent programs relying on big data transform decision-making.

Название: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Автор: Jorge Garza-Ulloa
Издательство: Academic Press, Elsevier
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true)
Размер: 37.1 MB

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB and IBM Watson.

Название: AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam
Автор: Shreyas Subramanian, Stefan Natu
Издательство: Sybex
Год: 2022
Страниц: 352
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.7 MB, 10.1 MB

Succeed on the AWS Machine Learning exam or in your next job as a Machine Learning specialist on the AWS Cloud platform with this hands-on guide. Machine learning (ML) is one of the most popular and rapidly growing fields in the technology industry today, with far-reaching business implications. The market for ML solutions and products is expected to grow annually by tens of billions of dollars, and with it, the demand for professionals who understand how to analyze data and build ML solutions is expected to grow as well. ML is a highly technical field, and successful ML professionals need a foundation in mathematics, statistics, and data analysis. They must be able to code and have a fundamental understanding of infrastructure and software development best practices. In the past, the practitioners of machine learning were academics and PhDs, but the industry demand for ML is much larger than the supply of new PhDs emerging from academic institutions.

Название: Trends and Advancements of Image Processing and Its Applications
Автор: Prashant Johri, Mario Jose Divan, Ruqaiya Khanam
Издательство: Springer
Серия: EAI/Springer Innovations in Communication and Computing
Год: 2022
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

Image processing is a great tool for many applications in our day-to-day life. Anyone could be captivated by the variety of forms, colors, textures, and motion among other perceptible aspects in the world. This book is intended to cover current technological innovations and applications in the emerging field of image processing and analysis techniques with application in the clinical industry, remote sensing, forensics, astronomy, manufacturing, defense, and many more that depend on image storage, display, and information disclosure about the world around us. The book presents the concepts and techniques of remote sensing, such as image mining and geographical and agricultural resources, medical image detection and diagnoses, image recognition and analysis, Artificial Intelligence (AI), computer vision, Machine Learning (ML), Deep Learning-based image analysis, pattern recognition and capsule networks in object tracking, remote sensing, moving object tracking, and wavelet transformation.

Название: Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies
Автор: Sandeep K. Panda, Vaibhav Mishra, R. Balamurali
Издательство: CRC Press
Год: 2022
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 29.4 MB

The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. ML is a field of study that gives computers an ability to learn without being explicitly programmed, whereas data science deals with extracting knowledge from data. Deep Learning is a big artificial neural network which mimics the network of neurons in a human brain. It is a subset of ML and is called “deep learning” because it uses deep neural networks for learning.

Название: Application of Machine Learning and Deep Learning Methods to Power System Problems
Автор: Morteza Nazari-Heris, Somayeh Asadi
Издательство: Springer
Год: 2022
Страниц: 390
Язык: английский
Формат: pdf (true), epub
Размер: 48.9 MB

This book evaluates the role of innovative Machine Learning (ML) and Deep Learning (DL) methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Accordingly, the application of various Machine Learning and Deep Learning methods such as artificial neural networks (ANNs), expert systems, fuzzy systems, evolutionary-based methods, deep neural network (DNN), convolutional neural network (CNN), and long short-term memory (LSTM) has been introduced as effective methods to handle the decision-making process of modeling power systems.

Название: Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
Автор: Heli Helskyaho, Jean Yu, Kai Yu
Издательство: Apress
Год: 2021
Страниц: 300
Язык: английский
Формат: pdf (true), epub
Размер: 17.4 MB

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines.

Название: Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Автор: Annamalai Suresh, R. Udendhran, S. Vimal
Издательство: IGI Global
Год: 2020
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques.

Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Автор: Uttam Ghosh, Yassine Maleh
Издательство: Springer
Год: 2021
Страниц: 413
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and Big Data models and techniques. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and data analytics for sustainable future smart city applications.

Название: Machine Learning in Asset Pricing
Автор: Stefan Nagel
Издательство: Princeton University Press
Год: 2021
Страниц: 157
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

A groundbreaking, authoritative introduction to how Machine Learning (ML) can be applied to asset pricing. Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of Machine Learning are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing.