Machine Learning On Commodity Tiny Devices

Download Machine Learning On Commodity Tiny Devices full books in PDF, epub, and Kindle. Read online Machine Learning On Commodity Tiny Devices ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Machine Learning on Commodity Tiny Devices

Author : Song Guo
Publisher : CRC Press
ISBN 13 : 100078035X
Total Pages : 268 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning on Commodity Tiny Devices by : Song Guo

Download or read book Machine Learning on Commodity Tiny Devices written by Song Guo and published by CRC Press. This book was released on 2022-11-24 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of the latest research progress and provides system-level insights on designing TinyML frameworks, including neural network design, training algorithm optimization and domain-specific hardware acceleration. It identifies the main challenges when deploying TinyML tasks in the real world and guides the researchers to deploy a reliable learning system. This volume will be of interest to students and scholars in the field of edge intelligence, especially to those with sufficient professional Edge AI skills. It will also be an excellent guide for researchers to implement high-performance TinyML systems.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!

Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

Author : Pablo García Bringas
Publisher : Springer Nature
ISBN 13 : 3031425294
Total Pages : 305 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) by : Pablo García Bringas

Download or read book 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) written by Pablo García Bringas and published by Springer Nature. This book was released on 2023-08-30 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 18th SOCO 2023 International Program Committee selected 61 papers which are published in these conference proceedings and represents an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as: Time Series Forecasting in Industrial and Environmental Applications, Technological Foundations and Advanced Applications of Drone Systems, Soft Computing Methods in Manufacturing and Management Systems, Efficiency and Explainability in Machine Learning and Soft Computing, Machine Learning and Computer Vision in Industry 4.0, Genetic and Evolutionary Computation in Real World and Industry, and Soft Computing and Hard Computing for a Data Science Process Model. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

TinyML for Edge Intelligence in IoT and LPWAN Networks

Author : Bharat S Chaudhari
Publisher : Elsevier
ISBN 13 : 0443222037
Total Pages : 520 pages
Book Rating : 4.4/5 (432 download)

DOWNLOAD NOW!

Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari

Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari and published by Elsevier. This book was released on 2024-05-29 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.

Human Communication Technology

Author : R. Anandan
Publisher : John Wiley & Sons
ISBN 13 : 1119750598
Total Pages : 498 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Human Communication Technology by : R. Anandan

Download or read book Human Communication Technology written by R. Anandan and published by John Wiley & Sons. This book was released on 2021-11-16 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: HUMAN COMMUNICATION TECHNOLOGY A unique book explaining how perception, location, communication, cognition, computation, networking, propulsion, integration of federated Internet of Robotic Things (IoRT) and digital platforms are important components of new-generation IoRT applications through continuous, real-time interaction with the world. The 16 chapters in this book discuss new architectures, networking paradigms, trustworthy structures, and platforms for the integration of applications across various business and industrial domains that are needed for the emergence of intelligent things (static or mobile) in collaborative autonomous fleets. These new apps speed up the progress of paradigms of autonomous system design and the proliferation of the Internet of Robotic Things (IoRT). Collaborative robotic things can communicate with other things in the IoRT, learn independently, interact securely with the world, people, and other things, and acquire characteristics that make them self-maintaining, self-aware, self-healing, and fail-safe operational. Due to the ubiquitous nature of collaborative robotic things, the IoRT, which binds together the sensors and the objects of robotic things, is gaining popularity. Therefore, the information contained in this book will provide readers with a better understanding of this interdisciplinary field. Audience Researchers in various fields including computer science, IoT, artificial intelligence, machine learning, and big data analytics.

Low-Power Computer Vision

Author : George K. Thiruvathukal
Publisher : CRC Press
ISBN 13 : 1000540960
Total Pages : 395 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Low-Power Computer Vision by : George K. Thiruvathukal

Download or read book Low-Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Compact and Fast Machine Learning Accelerator for IoT Devices

Author : Hantao Huang
Publisher : Springer
ISBN 13 : 9811333238
Total Pages : 157 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Compact and Fast Machine Learning Accelerator for IoT Devices by : Hantao Huang

Download or read book Compact and Fast Machine Learning Accelerator for IoT Devices written by Hantao Huang and published by Springer. This book was released on 2018-12-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.

Machine Learning and Artificial Intelligence for Agricultural Economics

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
ISBN 13 : 3030774856
Total Pages : 611 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Artificial Intelligence for Agricultural Economics by : Chandrasekar Vuppalapati

Download or read book Machine Learning and Artificial Intelligence for Agricultural Economics written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2021-10-04 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

Machine Learning for Cyber Security

Author : Preeti Malik
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110766760
Total Pages : 170 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Cyber Security by : Preeti Malik

Download or read book Machine Learning for Cyber Security written by Preeti Malik and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-12-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.

Supply Chain

Author : Tamás Bányai
Publisher : BoD – Books on Demand
ISBN 13 : 1803553723
Total Pages : 227 pages
Book Rating : 4.8/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Supply Chain by : Tamás Bányai

Download or read book Supply Chain written by Tamás Bányai and published by BoD – Books on Demand. This book was released on 2022-07-27 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth Industrial Revolution has led to revolutionary changes in production and service processes. This book explains and examines the impact of Industry 4.0 technologies on supply chain solutions. It discusses the concept, design, and implementation of supply chain solutions using Industry 4.0 technologies. Chapters address such topics as supply webs, open innovation practices, lean manufacturing, the Internet of Things, green supply chain solutions, and much more.

Intelligent Control for Modern Transportation Systems

Author : Arunesh Kumar Singh
Publisher : CRC Press
ISBN 13 : 1000963527
Total Pages : 194 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Control for Modern Transportation Systems by : Arunesh Kumar Singh

Download or read book Intelligent Control for Modern Transportation Systems written by Arunesh Kumar Singh and published by CRC Press. This book was released on 2023-10-12 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively discusses concepts of artificial intelligence in green transportation systems. It further covers intelligent techniques for precise modeling of complex transportation infrastructure, forecasting and predicting traffic congestion, and intelligent control techniques for maximizing performance and safety. It further provides MATLAB® programs for artificial intelligence techniques. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems to generate power for electric vehicles. Highlights how different technological advancements have revolutionized the transportation system. Presents core concepts and principles of soft computing techniques in the control and management of modern transportation systems. Discusses important topics such as speed control, fuel control challenges, transport infrastructure modeling, and safety analysis. Showcases MATLAB® programs for artificial intelligence techniques. Discusses roles, implementation, and approaches of different intelligent techniques in the field of transportation systems. It will serve as an ideal text for professionals, graduate students, and academicians in the fields of electrical engineering, electronics and communication engineering, civil engineering, and computer engineering.

Proceeding of National Conference On Recent Innovations in Emerging Computer Technologies (NCRIECT-2023)

Author : Dr. Asha Ambhaikar
Publisher : INENCE PUBLICATIONS PVT LTD
ISBN 13 :
Total Pages : 422 pages
Book Rating : 4.3/5 (938 download)

DOWNLOAD NOW!

Book Synopsis Proceeding of National Conference On Recent Innovations in Emerging Computer Technologies (NCRIECT-2023) by : Dr. Asha Ambhaikar

Download or read book Proceeding of National Conference On Recent Innovations in Emerging Computer Technologies (NCRIECT-2023) written by Dr. Asha Ambhaikar and published by INENCE PUBLICATIONS PVT LTD. This book was released on 2023-05-09 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Conference on Recent Innovations in Emerging Computer Technologies (NCRIECT-2023) was held on the 9th and 10th of May 2023 at Kalinga University, Raipur. The conference was aimed at bringing together researchers, scholars, academicians, and industry professionals to discuss the latest advancements and innovations in the field of computer technologies. The conference began with an opening ceremony, where the chief guests and dignitaries were welcomed by the organizers. The keynote address was delivered by a renowned expert in the field of computer technologies, who spoke about the importance of innovation in driving progress and growth in the industry. This was followed by technical sessions, where researchers and professionals presented their papers on various topics related to computer technologies. The technical sessions covered a wide range of topics, including but not limited to artificial intelligence, machine learning, data science, computer networks, security and privacy, computer graphics and visualization, software engineering, and emerging technologies. The presentations were well-received by the audience, who actively participated in the discussions and provided valuable feedback to the presenters. Apart from the technical sessions, the conference also featured a panel discussion on the topic of "The Future of Computer Technologies". The panel comprised experts from academia and industry, who shared their insights and perspectives on the future direction of the field. The discussion covered various topics, such as the impact of emerging technologies like blockchain and quantum computing, the role of artificial intelligence and machine learning in shaping the future of work, and the challenges and opportunities in ensuring the ethical use of technology. Overall, the conference provided a platform for researchers and professionals to share their ideas, insights, and experiences, and to collaborate and network with their peers. The organizers thanked all the participants and sponsors for their support in making the conference a success, and announced plans to host a follow-up event next year.

Knowledge Management in the Development of Data-Intensive Systems

Author : Ivan Mistrik
Publisher : CRC Press
ISBN 13 : 1000387410
Total Pages : 342 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Management in the Development of Data-Intensive Systems by : Ivan Mistrik

Download or read book Knowledge Management in the Development of Data-Intensive Systems written by Ivan Mistrik and published by CRC Press. This book was released on 2021-06-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

A.I. in 2020

Author : Jair Ribeiro
Publisher : Jair Ribeiro
ISBN 13 :
Total Pages : 273 pages
Book Rating : 4.5/5 (98 download)

DOWNLOAD NOW!

Book Synopsis A.I. in 2020 by : Jair Ribeiro

Download or read book A.I. in 2020 written by Jair Ribeiro and published by Jair Ribeiro. This book was released on 2021-01-05 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the best articles about several artificial intelligence concepts that I have published online during 2020. It is dedicated to anyone interested in Artificial Intelligence and anyone who wants to understand some of the building blocks that form this fascinating technology. Here, you will find my best articles, updated and revisited, with some more insights, with a suitable format for book readers. The content of this book results from extensive research, long nights of studies, and some of my best years of work in the field in some prestigious enterprise companies in Europe. My goal is to share as much as possible through an affordable, simple, and straightforward language, valuable knowledge that helps you understanding complex topics related to technologies such as Machine Learning, Deep Learning, Analytics, and Autonomous Vehicles, among others. It is a satisfying adventure, I must say. Every day I receive considerably positive feedback, lots of article views, lots of likes, retweets, and more on my social networks and not less, some indications as a top writer, invitations to collaborate in some prestigious online publications. All this is truly motivating. I believe that life is complicated enough, so I consider that every time someone tries to simplify concepts and knowledge useful to humanity, this can be regarded as an essential contribution to inclusiveness and equity in the world. So, this is my mission. This book is not intended to exhaust all the learning needs of those wishing to enter the AI world. It is a starting point composed of some “scattered notes” that will help you put together some valuable pieces of technology's great mosaic. The articles presented here are very beneficial to provide you a practical introduction to some of the most important concepts that many of us face daily. They also will give you some pointers on how to go beyond the first step in search of much more. Just as Dante suggested: “You were not meant to live as ugly, but to seek virtue and knowledge.”

Access Control Management in Cloud Environments

Author : Hua Wang
Publisher : Springer Nature
ISBN 13 : 3030317293
Total Pages : 300 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Access Control Management in Cloud Environments by : Hua Wang

Download or read book Access Control Management in Cloud Environments written by Hua Wang and published by Springer Nature. This book was released on 2020-09-29 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces new business concepts on cloud environments such as secure, scalable anonymity and practical payment protocols for the Internet of things and Blockchain technology. The protocol uses electronic cash for payment transactions. In this new protocol, from the viewpoint of banks, consumers can improve anonymity if they are worried about disclosure of their identities in the cloud. Currently, there is not a book available that has reported the techniques covering the protocols with anonymizations and Blockchain technology. Thus this will be a useful book for universities to purchase. This textbook provides new direction for access control management and online business, with new challenges within Blockchain technology that may arise in cloud environments. One is related to the authorization granting process. For example, when a role is granted to a user, this role may conflict with other roles of the user or together with this role; the user may have or derive a high level of authority. Another is related to authorization revocation. For instance, when a role is revoked from a user, the user may still have the role. Experts will get benefits from these challenges through the developed methodology for authorization granting algorithm, and weak revocation and strong revocation algorithms.

Hands-On Machine Learning with TensorFlow.js

Author : Kai Sasaki
Publisher : Packt Publishing Ltd
ISBN 13 : 1838827870
Total Pages : 285 pages
Book Rating : 4.8/5 (388 download)

DOWNLOAD NOW!

Book Synopsis Hands-On Machine Learning with TensorFlow.js by : Kai Sasaki

Download or read book Hands-On Machine Learning with TensorFlow.js written by Kai Sasaki and published by Packt Publishing Ltd. This book was released on 2019-11-27 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.

Machine Learning for Indoor Localization and Navigation

Author : Saideep Tiku
Publisher : Springer Nature
ISBN 13 : 3031267125
Total Pages : 563 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Indoor Localization and Navigation by : Saideep Tiku

Download or read book Machine Learning for Indoor Localization and Navigation written by Saideep Tiku and published by Springer Nature. This book was released on 2023-06-29 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve the accuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book: Provides comprehensive coverage of the application of machine learning to the domain of indoor localization; Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization; Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.