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 Название: IoT System Testing: An IoT Journey from Devices to Analytics and the Edge
Автор: Jon Duncan Hagar
Издательство: Apress
Год: 2022
Страниц: 323
Язык: английский
Формат: pdf (true), epub
Размер: 27.2 MB
To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI. | |
Разместил: Ingvar16 16-09-2022, 15:59 | Комментарии: 0 | Подробнее
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 Название: AI Time Series Control System Modelling
Автор: Chuzo Ninagawa
Издательство: Springer
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 44.1 MB
This book describes the practical application of Artificial Intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods". | |
Разместил: Ingvar16 16-09-2022, 15:05 | Комментарии: 0 | Подробнее
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 Название: FastAPI: Modern Python Web Development (Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2022-09-14
Язык: английский
Формат: epub
Размер: 10.1 MB
FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Supplemental material (code examples, exercises, etc.) is available for download at GitHub. | |
Разместил: Ingvar16 16-09-2022, 14:07 | Комментарии: 0 | Подробнее
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 Название: Hybrid Intelligent Systems for Information Retrieval
Автор: Anuradha D. Thakare, Shilpa Laddha, and Ambika Pawar
Издательство: CRC Press
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. This book covers the architectures of modern information systems pertaining to structured and unstructured data retrieval, and there is a detailed discussion on how to develop computational models for retrieval systems. It describes evolutionary approaches for optimal information retrieval and the design of hybrid intelligent information retrieval systems for various applications. The focus is on three key areas: Optimality in Information Retrieval with Evolutionary Algorithms, Semantic Web Information Retrieval, and Natural Language Processing for Information Retrieval. Deep learning methods have proven applicability in information retrieval (IR). Deep learning models eliminate human bias for feature or relevance measure and make it more efficient. Deep learning has a lot of potential to improvise IR. Recurrent neural networks (RNNs) are highly efficient with an internal memory, and it has the most promising algorithms. | |
Разместил: Ingvar16 16-09-2022, 13:28 | Комментарии: 0 | Подробнее
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 Название: Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
Автор: Akshay Kore
Издательство: Apress
Год: 2022
Страниц: 478
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB
User Experience (UX) design practices are evolving as more and more software products incorporate Machine Learning (ML) components and Artificial Intelligence (AI) algorithms at their core. AI brings a fundamental shift to how we design products. Instead of programming a system to do a specific action, AI teams are responsible for curating outcomes based on algorithms and large amounts of data. AI systems are dynamic, they change over time, and their user experience needs to adapt to this change. The complexity of these systems requires deeper collaborations with various disciplines. The dynamic nature of AI systems calls for a shift in how we think about designing intelligent products and how we work, communicate and collaborate within teams. 'Designing Human-Centric AI Experiences' will explore this problem and address the challenges and opportunities in UX design for AI/ML systems. We look at best practices for designers, managers, and product creators and describe how individuals from non-technical backgrounds can collaborate effectively with AI and Machine learning teams. | |
Разместил: Ingvar16 16-09-2022, 13:12 | Комментарии: 0 | Подробнее
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 Название: SAP Enterprise Architecture: A Blueprint for Executing Digital Transformation
Автор: Sheunopa Chalmers Musukutwa
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 223
Размер: 10 Mb
Язык: English
The book introduces enterprise architecture, the role it plays in executing successful business strategy, and its application in SAP. A detailed step-by-step guide teaches you how to utilize SAP Enterprise Architecture Designer to model the four key areas: business, data, landscape, and requirements. Executives will gain insight into the considerations that will aid them in building their digital transformation road map while remaining agile to adapt to unforeseen circumstances. and adapting to the new normal. SAP partners and consultants will find their place in SAP’s future.
By the end of this book, you will learn what SAP enterprise architecture is and how to develop it along with its best practices. | |
Разместил: vitvikvas 16-09-2022, 11:04 | Комментарии: 0 | Подробнее
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 Название: MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: MathWorks
Год: 2022
Формат: PDF
Страниц: 10860
Размер: 58,7 Mb
Язык: English
Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML.
For multidimensional data analysis and feature extraction, the toolbox provides principal component analysis (PCA), regularization, dimensionality reduction, and feature selection methods that let you identify variables with the best predictive power.
The toolbox provides supervised, semi-supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted decision trees, k-means, and other clustering methods. You can apply interpretability techniques such as partial dependence plots and LIME, and automatically generate C/C++ code for embedded deployment. Many toolbox algorithms can be used on data sets that are too big to be stored in memory. | |
Разместил: vitvikvas 16-09-2022, 10:22 | Комментарии: 0 | Подробнее
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 Название: Programming Fundamentals Using MATLAB
Автор: Michael Weeks PhD
Издательство: Mercury Learning & Information
Год: 2020
Формат: PDF
Страниц: 581
Размер: 10 Mb
Язык: English
This book covers the MATLAB syntax and the environment suitable for someone with no programming background. The first four chapters present information on basic MATLAB programming including computing terminology, MATLAB specific syntax and control structures, operators, arrays and matrices. The next cluster covers grouping data, working with files, making images, creating graphical user interfaces, experimenting with sound, and the debugging environment. The final three chapters contain case studies on using MATLAB and other tools and devices (e.g., Arduino, Linux, Git, Mex, etc.) important for basic programming knowledge. Companion files with code and 4 color figures are on the disc or available from the publisher. | |
Разместил: vitvikvas 16-09-2022, 09:24 | Комментарии: 0 | Подробнее
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 Название: Computer Graphics Programming in OpenGL with C++, 2nd Edition
Автор: V. Scott Gordon, John Clevenger
Издательство: Mercury Learning and Information
Год: 2021
Формат: PDF
Страниц: 535
Размер: 13,8 Mb
Язык: English
This new edition provides step-by-step instruction on modern 3D graphics shader programming in OpenGL with C++, along with its theoretical foundations. It is appropriate both for computer science graphics courses, and for professionals interested in mastering 3D graphics skills. It has been designed in a 4-color, “teach-yourself” format with numerous examples that the reader can run just as presented. Every shader stage is explored, from the basics of modeling, textures, lighting, shadows, etc., through advanced techniques such as tessellation, normal mapping, noise maps, as well as new chapters on simulating water, stereoscopy, and ray tracing. Includes companion files with code, object models, figures, and more. | |
Разместил: vitvikvas 16-09-2022, 08:53 | Комментарии: 0 | Подробнее
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 Название: Python 3 and Data Analytics Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2021
Формат: True PDF
Страниц: 258
Размер: 10 Mb
Язык: English
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available for downloading with Amazon proof of purchase by writing to info@merclearning.com. | |
Разместил: vitvikvas 16-09-2022, 08:17 | Комментарии: 0 | Подробнее
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