Iot Platforms, Use Cases, Privacy, and Business Models: With Hands-On Examples Based on the Vicinity Platform, Zivkovic Carna, Guan Yajuan, Grimm Christoph
Introduction.- IoT Platforms.- Business models and use-cases for the IoT.- Development methods and tools.- Ontologies for semantic interoperability.- Standards for the IoT.- Security and Trust.- Privacy, GDPR and homomorphic encryption.- Mastering the IoT with the VICINITY platform.
Описание: This book helps those who want to use social media but are not necessarily Web-savvy navigate the most popular networking sites available. Privacy and technical information about how social media platforms function are explained, so everyone can make informed decisions about how to connect online.
Описание: This book discusses the rapidly growing interest in economic diversification through partnerships between industry, university and government (IUGP), with a focus on the economic diversification of the state of Qatar.
Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable models
Key Features:
Learn how to extract easy-to-understand insights from any machine learning model
Become well-versed with interpretability techniques to build fairer, safer, and more reliable models
Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models
Book Description:
Do you want to understand your models and mitigate risks associated with poor predictions using machine learning (ML) interpretation? Interpretable Machine Learning with Python can help you work effectively with ML models.
The first section of the book is a beginner's guide to interpretability, covering its relevance in business and exploring its key aspects and challenges. You'll focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. The second section will get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, the book also helps the reader to interpret model outcomes using examples. In the third section, you'll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you'll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.
By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.
What You Will Learn:
Recognize the importance of interpretability in business
Study models that are intrinsically interpretable such as linear models, decision trees, and Na ve Bayes
Become well-versed in interpreting models with model-agnostic methods
Visualize how an image classifier works and what it learns
Understand how to mitigate the influence of bias in datasets
Discover how to make models more reliable with adversarial robustness
Use monotonic constraints to make fairer and safer models
Who this book is for:
This book is for data scientists, machine learning developers, and data stewards who have an increasingly critical responsibility to explain how the AI systems they develop work, their impact on decision making, and how they identify and manage bias. Working knowledge of machine learning and the Python programming language is expected.
Автор: Bhawani Shankar Chowdhry, Faisal Karim Shaikh, Naeem Ahmed Mahoto Название: IoT Architectures, Models, and Platforms for Smart City Applications ISBN: 1799812545 ISBN-13(EAN): 9781799812548 Издательство: Mare Nostrum (Eurospan) Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.
Описание: Provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. The publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies.
Описание: The React Workshop equips you with the knowledge you need to implement React logic in web applications. You`ll learn important best practices and essential React methods with the help of interesting examples and exercises.