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See below for a selection of the latest books from Artificial intelligence category. Presented with a red border are the Artificial intelligence books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Artificial intelligence books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE. You'll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, you'll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book. Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier. What You Will Learn Program in Python and TensorFlow Tackle basic machine learning obstacles Develop in the Jupyter Notebooks environment Who This Book Is For Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.
The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as Deep Learning, Computer Vision, Natural Language Processing and Robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in Medicine. These trends will mean an expanded role for AI in provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to Healthcare Delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration and delivery and how they can commence applying AI in their health services. Others like researchers and technology professionals will find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
Handbook of Research for Green Engineering in Smart Cities covers Green Technology applications and new research ideas, aspects, and methods for solving the real-time problems. It provides industrial revolution dimensions for energy saving, uplifting green engineering ideas with the modern gadgets' era. The book provides the most up-to-date cutting-edge green technologies and methods for use in built communities. It provides a common approach in using natural resources when building and designing green communities in smart cities. It offers the latest industrial aspects, ideas and research prospects, as well as case studies, and narrow analysis of smart cities revolutions in the modern era. The handbook will also be helpful for green awareness security mechanisms for an industrial R&D prospective. This book is written for engineering students, postgraduate students, research scholars, and professionals involved with green engineering in smart cities.
There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big Data: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities. This book is dedicated to addressing the major challenges in realizing smart cities and sensing platforms in the era of Big Data cities and Internet of Everything. Challenges vary from cost and energy efficiency to availability and service quality. This book examines security issues and challenges, addresses the total information science challenges, covers exploring and creating IoT environment-related sales adaptive systems, and investigates basic and high-level concepts using the latest techniques implemented by researchers and industrial companies. The book is written for analysts, researchers, and specialists who are working on the future generation of the technologies. It will serve as a valuable guide for those in the industry, and students as well.
In line with the BCS AI Foundation and Essentials certificates, this book guides you through the complex and ever-evolving world of AI. You will learn how AI is being utilised today to support products, services, science and engineering, and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.
Transforming Management Using Artificial Intelligence Techniques redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of Artificial Intelligence impact each other's efficacy for better output. It's a reliable and accessible one-stop resource that introduces AI, presents a full examination of applications, provides an understanding of the foundations, examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration, and so much more, all within the realm of Artificial Intelligence. This book will feature: Uncovering new and innovative features of Artificial Intelligence and how it can help in raising economic efficiency at both micro and macro levels Both the literature and practical aspects of Artificial Intelligence and its uses Chapter summaries or key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes This book will also simply the topic of Artificial Intelligence for the readers, aspiring researchers, and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.
With AI now being used in many walks of our every day life, this book looks at the questions surrounding AI and its future. For example: Who owns AI? Is AI a product in its own right? Should AI have rights and responsibilities? What are the status, capacity and authority issues relating to AI? Is AI racist? What are the issues (legal and ethical) created by implicit bias of coders and data sets? Can AI be used to gain a competitive advantage? If so, is it anti-competitive? What is the role of AI in cybersecurity? Can we trust AI? Written by experts and laid out in the style of a trial, starting with opening submissions, followed by the evidence, closing submissions and finally the judgment, the book takes an innovative approach to the most innovative of technological areas.
Currently many different application areas for Big Data (BD) and Machine Learning (ML) are being explored. These promising application areas for BD/ML are the social sites, search engines, multimedia sharing sites, various stock exchange sites, online gaming, online survey sites and various news sites, and so on. To date, various use-cases for this application area are being researched and developed. Software applications are already being published and used in various settings from education and training to discover useful hidden patterns and other information like customer choices and market trends that can help organizations make more informed and customer-oriented business decisions. Combining BD with ML will provide powerful, largely unexplored application areas that will revolutionize practice in Videos Surveillance, Social Media Services, Email Spam and Malware Filtering, Online Fraud Detection, and so on. It is very important to continuously monitor and understand these effects from safety and societal point of view. Hence, the main purpose of this book is for researchers, software developers and practitioners, academicians and students to showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology, enhanced by business activities and strategies for rapid implementation. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save resources from getting depleted in nature, and illustrates the facilitation of green technology in industry with the usage of advanced materials. The book also covers environmental sustainability and the current trends in manufacturing. The book provides basic concepts of green technology along with the technology aspects for researchers, faculty, and students.
This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics