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 Название: Introducing MLOps: How to Scale Machine Learning in the Enterprise
Автор: Mark Treveil, Nicolas Omont, Clément Stenac, Kenji Lefevre, Du Phan, Joachim Zentici, Adrien Lavoillotte, Makoto Miyazaki, Lynn Heidmann
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 186
Размер: 13,6 Mb, 10 Mb
Язык: English
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.
This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. | |
Разместил: vitvikvas 23-08-2021, 11:55 | Комментарии: 0 | Подробнее
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 Название: Building Serverless Applications with Google Cloud Run: A Real-World Guide to Building Production-Ready Services
Автор: Wietse Venema
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 203
Размер: 11 Mb, 10 Mb
Язык: English
Learn how to build a serverless real-world application in the cloud that's reliable, secure, and scalable. If you have experience building web applications on traditional infrastructure, this comprehensive and approachable guide shows you how to get started with serverless containers on Cloud Run.
Throughout the course of the book, you'll deploy and explore several example applications that highlight different parts of the serverless stack on Google Cloud. Combining practical examples with fundamentals, this book will appeal to both developers who are early in their learning journey and experienced practitioners. | |
Разместил: vitvikvas 23-08-2021, 11:42 | Комментарии: 0 | Подробнее
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 Название: C# 9.0 in a Nutshell: The Definitive Reference, First Edition
Автор: Joseph Albahari
Издательство: O’Reilly Media
Год: 2021-02-26
Формат: epub/pdf(conv.)
Страниц: 1060
Размер: 15.7 Mb
Язык: English
When you have questions about C# 9.0 or .NET 5, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth there's so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today. | |
Разместил: _аdmin_ 23-08-2021, 11:25 | Комментарии: 0 | Подробнее
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 Название: Practical Fairness: Achieving Fair and Secure Data Models
Автор: Aileen Nielsen
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 346
Размер: 12,8 Mb
Язык: English
Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that's fair and free of bias.
Many realistic best practices are emerging at all steps along the data pipeline today, from data selection and preprocessing to closed model audits. Author Aileen Nielsen guides you through technical, legal, and ethical aspects of making code fair and secure, while highlighting up-to-date academic research and ongoing legal developments related to fairness and algorithms. | |
Разместил: vitvikvas 23-08-2021, 11:17 | Комментарии: 0 | Подробнее
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 Название: Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications
Автор: Amit Kumar Tyagi
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 528
Язык: английский
Формат: pdf (true)
Размер: 50.2 MB
This book discuss how Deep Learning can help healthcare images or text data in making useful decisions. For that, the need of reliable Deep Learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs/images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing belter results are highly effective for e-healthcare applications, which is the challenge of today. For that, this book provides some reliable Deep Learning or deep neural networks models for healthcare applications via receiving chapters from around the world. In summary, this book will cover introduction, requirement, importance, issues and challenges, etc., faced in available current Deep Learning models (also include innovative Deep Learning algorithms/models for curing disease in Medicare) and provide opportunities for several research communities with including several research gaps in Deep Learning models (for healthcare applications). | |
Разместил: Ingvar16 22-08-2021, 21:27 | Комментарии: 0 | Подробнее
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 Название: Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications
Автор: Siddhartha Bhattacharyya, Paramartha Dutta
Издательство: Academic Press, Elsevier
Год: 2021
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 44.0 MB
Computational Intelligence (CI) is a subset of Artificial Intelligence. The field of Computational Intelligence has grown tremendously over that past five years, thanks to evolving soft computing and Artificial Intelligent (AI) methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of Computational Intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. | |
Разместил: Ingvar16 22-08-2021, 14:16 | Комментарии: 0 | Подробнее
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 Название: Multi-access Edge Computing: Software Development at the Network Edge
Автор: Dario Sabella
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 416
Размер: 22 Mb
Язык: English
The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout. | |
Разместил: vitvikvas 22-08-2021, 13:40 | Комментарии: 0 | Подробнее
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 Название: Handbook of Mobile Application Development: a Guide to Selecting the Right Engineering and Quality Features
Автор: Mohamed Sarrab, Hafedh Al-Shihi, Naveen Safia
Издательство: Bentham Science Publishers
Год: 2021
Страниц: 114
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
This handbook is a concise yet complete guide to fundamental engineering requirements and quality characteristics that users, developers, and marketers of mobile applications should be aware of. It provides detailed definitions and descriptions of eight key software application features that are integral to the overall design and user experience goals, and which may often overlap with certain functionalities and leave novice developers confused. Readers will also learn about how to optimize the listed features to tailor their applications to the needs of their users. | |
Разместил: Ingvar16 22-08-2021, 11:06 | Комментарии: 0 | Подробнее
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 Название: Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Автор: Florent Buisson
Издательство: O’Reilly Media
Год: 2021
Формат: True (PDF, ePUB)
Страниц: 360
Размер: 12,5 Mb, 10 Mb
Язык: English
Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. | |
Разместил: vitvikvas 22-08-2021, 10:43 | Комментарии: 0 | Подробнее
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 Название: Reinforcement Learning: Industrial Applications of Intelligent Agents, 1st Edition
Автор: Phil Winder, Ph.D.
Издательство: O'Reilly Media
Год: 2021
Страниц: 408
Язык: английский
Формат: pdf (true), epub
Размер: 18.8 MB, 10.1 MB
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcementand enable a machine to learn by itself. | |
Разместил: Ingvar16 21-08-2021, 16:03 | Комментарии: 0 | Подробнее
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