Iot machine learning data (98 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Zustand: Brand New. 122 pages. 9.02x5.98x0.31 inches. In Stock.

Zustand: New. In English.

Zustand: Very Good. Picture Shown is For Illustration Purposes Only, Please See Below For Further DetailsCONDITION ? VERY GOOD - PAPERBACKlight wear and scuff marks to cover, pages in nice condition, shipped from the UK.

Zustand: New. In English.

1st ed. 2022. XXI, 1154 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes on Data Engineering and Communications Technologies, 97. Sprache: Englisch.…

Zustand: New. In English.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - Data is now the fuel of every industry, from healthcare and automotive to smart homes and AI-powered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation. Guided by real-world scenarios, the book moves from the origins of data privacy and regulatory frameworks to practical data classification, anonymization, and masking techniques you can implement. You will learn how automation, AI, and ML interact with privacy; how blockchain can both enhance and endanger data protection; how to secure IoT ecosystems and healthcare data; and how to manage privacy in automotive and smart mobility, including attack tools such as Flipper Zero. Finally, you will build a unifying privacy framework that ties together standards, governance, and hands-on controls across all these domains. By the end of this book, readers will be able to analyze and classify data, design and evaluate privacy controls. They will be equipped to translate privacy principles into concrete architectures, policies, and safeguards that make a measurable difference in their daily work, whatever their sector.What you will learn? Classify and map data to effective, risk-based protection measures.? Apply anonymization, masking, swapping, and synthetic data for privacy preservation.? Evaluate blockchain, IoT, and AI architectures for privacy risks.? Design controls for healthcare, automotive, and smart home ecosystems.? Translate regulations into practical policies, procedures, and technical safeguards.? Mitigate DoS attacks on IoT physical layers and wireless sensors.Who this book is forThis book is for privacy professionals, cybersecurity specialists, data protection officers, compliance managers, solution architects, and technical leads working with AI, IoT, cloud, or blockchain systems. It is also valuable for auditors, consultants, product managers, and engineers responsible for designing or assessing data-intensive services.Table of Contents1. Origin of Data Privacy2. The Steady State3. Data Classification4. Impact of Privacy Laws on Data Activities5. Anonymization6. Rise of Automation7. Machine Learning and Secure Programming8. Privacy in Blockchain9. Embedding Privacy in Blockchain10. Privacy in Healthcare11. Privacy and Security in Internet of Things12. Privacy in Automotive13. Setting up a Proper Privacy Framework with Monster Mesh14. Upcoming Future15. Case Studies.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makersserves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.What You Will LearnDiscover the machine learning, big data, and cloud and cognitive computing technology stackGain insights into machine learning concepts and practicesUnderstand business and enterprise decision-making using machine learningAbsorb machine-learning best practicesWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.…

Zustand: New. In English.

Paperback. Zustand: Brand New. 94 pages. 7.00x0.23x10.00 inches. In Stock.

Zustand: New.

Zustand: NEW.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Machine Learning for Decision Makers | Cognitive Computing Fundamentals for Better Decision Making. In the Age of IoT, Big Data Analytics, the Cloud, and Cognitive Computing | Patanjali Kashyap | Taschenbuch | Englisch | 2018 | Apress | EAN 9781484229873 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 337 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New.

Einband - flex.(Paperback). Zustand: New. Rashmi Agrawal is a PhD and UGC-NET qualified, with 18-plus years of experience in teaching and research. She is presently working as a Professor in the Department of Computer Applications, Manav Rachna International Institute of Researc.

Taschenbuch. Zustand: Neu. Big Data, IoT, and Machine Learning | Tools and Applications | Rashmi Agrawal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9780367531218 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, andFirst International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online.The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics:IoT Streams 2020:Stream Learning;Feature Learning; ITEM 2020:Unsupervised Machine Learning; Hardware; Methods;Quantization.…

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system.This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues.This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students.…

Paperback. Zustand: Brand New. 328 pages. 9.25x6.10x0.74 inches. In Stock.