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 Название: Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Автор: Saurabh D. Dorle
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 484
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
The only MLOps guide you'll ever need. This book is an essential resource for professionals aiming to streamline and optimize their Machine Learning operations. This comprehensive guide provides a thorough understanding of the MLOps life cycle, from model development and training to deployment and monitoring. By delving into the intricacies of each phase, the book equips readers with the knowledge and tools needed to create robust, scalable, and efficient Machine Learning workflows. Key chapters include a deep dive into essential MLOps tools and technologies, effective data pipeline management, and advanced model optimization techniques. The book also addresses critical aspects such as scalability challenges, data and model governance, and security in machine learning operations. Each topic is presented with practical insights and real-world case studies, enabling readers to apply best practices in their job roles. Whether you are a data scientist, ML engineer, or IT professional, this book empowers you to take your Machine Learning projects from concept to production with confidence. This book is for data scientists, Machine Learning engineers, and data engineers aiming to master MLOps for effective model management in production. It’s also ideal for researchers and stakeholders seeking insights into how MLOps drives business strategy and scalability, as well as anyone with a basic grasp of Python and Machine Learning looking to enter the field of Data Science in production. | |
Разместил: Ingvar16 1-09-2024, 17:21 | Комментарии: 0 | Подробнее
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 Название: Build: Elements of an Effective Software Organization
Автор: Rebecca Murphey, Otto Hilska
Издательство: Swarmia
Год: 2024
Страниц: 126
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Building software is hard. Running an effective software engineering organization is harder. Build: Elements of an Effective Software Organization is a guide to help good software teams get better and remain effective as the organization grows and evolves. Build is a blueprint for continuous improvement. It zeroes in on three key ingredients: a relentless focus on business outcomes, actionable insights to boost the productivity of your software teams, and a thoughtful approach to improving the experience of building software at your company. The systems and ecosystems we build to help us deliver software products are fundamentally human, and no organization is exactly like another. Whether you’re at the outset of a journey to hone the value created by your software development organization or you’re already somewhere along the way, finding the best path to success starts by understanding the unique context of your company. To that end, this book is not a mere collection of recommendations; it’s a guide to understanding the bigger picture of engineering effectiveness, including hard-earned wisdom about the inevitable pitfalls and dead-end paths that may tempt you along the way. Whether you’re a leader, a manager, or anyone invested in seeing your team or organization improve, Build provides the roadmap you need to drive meaningful, impactful progress. | |
Разместил: Ingvar16 1-09-2024, 14:25 | Комментарии: 0 | Подробнее
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 Название: Python Programming Concepts
Автор: MRB, Mittul Bhatt
Издательство: Mittul Bhatt
Год: 2024
Страниц: 91
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Python is a versatile, high-level programming language renowned for its simplicity and readability. It was created by Guido van Rossum and first released in 1991, making it one of the older programming languages still widely used today. Python's design philosophy emphasizes code readability with its clear and expressive syntax, making it an ideal language for both beginners and experienced developers alike. Overall, Python's simplicity, versatility, and extensive ecosystem make it a popular choice for a wide range of applications, from scripting and automation to web development, scientific computing, and artificial intelligence. Its ease of learning and use, combined with its powerful features, have contributed to its widespread adoption and continued relevance in the programming community. | |
Разместил: Ingvar16 1-09-2024, 13:19 | Комментарии: 0 | Подробнее
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 Название: MySQL и Delphi. Базы данных. Технология FireDAC
Автор: Д.Л. Осипов
Издательство: Издательские решения
Год: 2017
Страниц: 624
Язык: русский
Формат: pdf
Размер: 14.2 MB
Разработка клиент-серверных проектов баз данных c использованием системы управления базами данных MySQL и языка программирования Delphi на основе технологии доступа к данным FireDAC. Достаточно давно, в середине 90-х годов прошлого века при появлении на свет самой первой версии Delphi о новом языке программирования в первую очередь говорили, как о превосходном инструменте для разработки настольных и клиент-серверных приложений баз данных. Спустя более 20 лет современная среда проектирования RAD Studio компании Embarcadero (ключевым элементом которой по-прежнему выступает Delphi) не только не утратила позиций в этом сегменте компьютерного рынка, но и существенно нарастила свои возможности. Судите сами, RAD Studio позиционируется как среда проектирования, поддерживающая самые распространенные и успешные системы управления базами данных (СУБД). Более того, языки программирования, входящие в состав RAD Studio, являются кроссплатформенными и позволяют разрабатывать программное обеспечение не только для Microsoft Windows, но и для OS X, Linux и для мобильных платформ Android и iOS. К сожалению, в одной книге невозможно даже поверхностно охватить весь спектр СУБД, с которыми способен работать язык Delphi. Поэтому в качестве целевой СУБД выбрана одна из самых популярных у современных разработчиков платформ — MySQL. Именно этой СУБД и посвящена первая часть материала. Во второй части книги мы сосредоточим свое внимание на создании клиентских приложений БД в основу которых положена новая для программистов Delphi технология доступа к данным FireDAC. | |
Разместил: Ingvar16 1-09-2024, 03:41 | Комментарии: 0 | Подробнее
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 Название: AI Based Advancements in Biometrics and its Applications
Автор: Balasubramaniam S, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
Издательство: CRC Press
Год: 2025
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 16.0 MB
This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including Machine Learning, Deep Learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics. The term ‘biometrics’ refers to the distinctive physical or behavioural characteristics of an individual that can be exploited for the purpose of electronic identification and authentication. Among the many types of biometric identifiers, some examples are fingerprints, face traits, speech patterns, and handwriting speed. Each one of these identities can be used independently as a unique identifier for a certain individual, and they can also be used in conjunction with one another to increase the reliability of identification. Today, biometrics are finding an increasing number of applications across a wide range of industries. The utilisation of Artificial Intelligence (AI) in the field of biometrics is rapidly developing, with the objective of enhancing the dependability, efficiency, and safety of biometric identification systems. There are numerous applications of AI that can be utilised to improve biometric systems. | |
Разместил: Ingvar16 1-09-2024, 01:17 | Комментарии: 0 | Подробнее
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 Название: Building Intelligent Apps with .Net and Azure AI Services: Start Your Journey in Building Intelligent Solutions
Автор: Ashirwad Satapathi
Издательство: Apress
Год: 2024
Страниц: 209
Язык: английский
Формат: pdf
Размер: 17.0 MB
Building Intelligent Apps with .NET and Azure AI Services is a comprehensive book that will equip readers with the knowledge and skills to develop intelligent solutions by leveraging the capabilities of Azure AI Services. This book adopts a practical and example-based approach, ensuring that readers can easily grasp the subject matter and apply it effectively. The book begins by covering essential topics that lay the foundation for understanding Azure AI Services. Readers will gain a solid understanding of how to provision Azure AI Services and seamlessly integrate them into their .NET applications. Through detailed and illustrative examples, readers will be guided step-by-step in building intelligent solutions that target a range of platforms. In addition to the core concepts, the book delves into various AI services, offering practical guidance on building solutions for a wide array of scenarios. From text translation to image classification, readers will learn how to harness the power of Azure AI Services to solve complex problems. For developers, cloud architects, and tech enthusiasts looking forward to building scalable and intelligent solutions using Azure AI Services and .NET. | |
Разместил: Ingvar16 31-08-2024, 22:28 | Комментарии: 0 | Подробнее
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 Название: От математики к обобщенному программированию
Автор: Степанов А.А., Роуз Дэниэл Э.
Издательство: ДМK
Год: 2016
Cтраниц: 264
Формат: pdf (ocr)
Размер: 46 мб
Язык: русский
В этой основательной и вместе с тем доступной книге авторы объясняют принципы обобщенного программирования и стоящее за ними понятие математической абстракции. Любой достаточно квалифицированный программист, умеющий логически мыслить, уже обладает достаточными знаниями для прочтения этой книги. Авторы на удивление доходчиво сообщают необходимые сведения из общей алгебры и теории чисел. Они объясняют, какие проблемы должны были разрешить математики, и показывают, как найденные ими решения переводятся на язык обобщенного программирования и позволяют создать эффективный и элегантный код. | |
Разместил: rivasss 31-08-2024, 20:00 | Комментарии: 0 | Подробнее
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 Название: Leveraging Computer Vision to Biometric Applications
Автор: Arvind Selwal, Deepika Sharma, Mukesh Mann, Sudeshna Chakraborty, Valentina E. Balas
Издательство: CRC Press
Год: 2025
Страниц: 358
Язык: английский
Формат: pdf (true)
Размер: 20.3 MB
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the Machine and Deep Learning paradigms, this book adopts Machine and Deep Learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in Computer Vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques. Original application-based research and review articles with model, build-data-driven applications using computational algorithms are included in different chapters. The reader will learn how different techniques can represent data-driven applications and their behaviors in order to extract key features. The book will enable researchers from academia and industry to share innovative applications and creative solutions to common problems using computer vision applications. | |
Разместил: Ingvar16 31-08-2024, 12:50 | Комментарии: 0 | Подробнее
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 Название: Practical Machine Learning Illustrated with KNIME
Автор: Yu Geng, Qin Li, Geng Yang, Wan Qiu
Издательство: Springer
Год: 2024
Страниц: 312
Язык: английский
Формат: pdf (true)
Размер: 37.5 MB
This book guides professionals and students from various backgrounds to use Machine Learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use Machine Learning to solve problems in their own domains. However, Machine Learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use Machine Learning. KNIME, the low-code platform, comes to help. KNIME helps people use Machine Learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do. This book helps the readers gain an intuitive understanding of the basic concepts of Machine Learning through illustrations to practice Machine Learning in their respective fields. The author provides a practical guide on how to participate in Kaggle completions with KNIME to practice Machine Learning techniques. This textbook aims to provide a comprehensive and accessible introduction to AI and ML. It is structured into three parts: Introduction to AI Technology, Traditional Machine Learning, and Deep Learning. The first part lays the groundwork of essential knowledge, the second part explores various ML models and techniques, and the concluding part introduces the basics of Deep Learning. Primarily crafted for beginners, this textbook is also a valuable resource for anyone interested in the practical applications of AI and ML. Our aspiration is that readers will, in the spirit of Caesar’s renowned quote, “Veni Vidi Vici,” truly come, see, and conquer the basics of ML. | |
Разместил: Ingvar16 31-08-2024, 07:38 | Комментарии: 0 | Подробнее
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 Название: Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
Автор: Thanigaivelan R., Suchithra M., Kaliappan S., Mothilal T.
Издательство: IGI Global
Год: 2024
Страниц: 416
Язык: английский
Формат: pdf (true), epub
Размер: 23.6 MB
In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization. | |
Разместил: Ingvar16 30-08-2024, 14:39 | Комментарии: 0 | Подробнее
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