LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 1-01-2022, 13:39
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Numerical Methods Using Java: For Data Science, Analysis, and EngineeringНазвание: Numerical Methods Using Java: For Data Science, Analysis, and Engineering
Автор: Haksun Li, PhD
Издательство: Apress
Год: 2022
Страниц: 1196
Язык: английский
Формат: pdf (true)
Размер: 27.8 MB

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes. Numerical Methods Using Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.
  • Добавил: literator
  • Дата: 1-01-2022, 13:25
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Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI OrganizationsНазвание: Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations
Автор: Klaus Haller
Издательство: Apress
Год: 2022
Страниц: 223
Язык: английский
Формат: pdf (true), epub
Размер: 43.7 MB

Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists.
  • Добавил: literator
  • Дата: 1-01-2022, 13:12
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Interpreting Machine Learning Models: Learn Model Interpretability and Explainability MethodsНазвание: Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods
Автор: Anirban Nandi, Aditya Kumar Pal
Издательство: Apress
Год: 2022
Страниц: 355
Язык: английский
Формат: pdf (true), epub
Размер: 24.4 MB

Understand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts of machine learning interpretability along with different types of explainability algorithms. You’ll begin by reviewing the theoretical aspects of machine learning interpretability. In the first few sections you’ll learn what interpretability is, what the common properties of interpretability methods are, the general taxonomy for classifying methods into different sections, and how the methods should be assessed in terms of human factors and technical requirements. Using a holistic approach featuring detailed examples, this book also includes quotes from actual business leaders and technical experts to showcase how real life users perceive interpretability and its related methods, goals, stages, and properties.
  • Добавил: literator
  • Дата: 1-01-2022, 12:55
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Beginning iPhone Development with SwiftUI: Exploring the iOS SDK, Sixth EditionНазвание: Beginning iPhone Development with SwiftUI: Exploring the iOS SDK, Sixth Edition
Автор: Wally Wang
Издательство: Apress
Год: 2022
Страниц: 468
Язык: английский
Формат: pdf (true), epub
Размер: 15.7 MB

Tame the power of Apple’s new user interface toolkit, SwiftUI. Integrate all the interface elements iOS users have come to know and love, such as buttons, switches, pickers, toolbars, and sliders with less effort and more efficiency. You’ll also learn about touch gestures, lists, and grids for displaying data on a user interface. And you’ll even go beyond those simple controls to liven up any user interface with simple animation techniques. Spice your designs up with movement, scaling, and resizing, including spring and bounce effects!
  • Добавил: literator
  • Дата: 1-01-2022, 12:47
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Pro Microservices in .NET 6: With Examples Using ASP.NET Core 6, MassTransit, and KubernetesНазвание: Pro Microservices in .NET 6: With Examples Using ASP.NET Core 6, MassTransit, and Kubernetes
Автор: Sean Whitesell, Rob Richardson, Matthew D. Groves
Издательство: Apress
Год: 2022
Страниц: 310
Язык: английский
Формат: pdf (true), epub
Размер: 19.4 MB

Know the fundamentals of creating and deploying microservices using .NET 6 and gain insight from prescriptive guidance in this book on the when and why to incorporate them. The microservices architecture is a way of distributing process workloads to independent applications. This distribution allows for the independent applications to scale and evolve separately. It also enables developers to dismantle large applications into smaller, easier-to-maintain, scalable parts. While the return is valuable and the concept straightforward, applying it to an application is far more complicated. Where do you start? How do you find the optimal dividing point for your app, and strategically, how should your app be parceled out into separate services? Pro Microservices in .NET 6 will introduce you to all that and more. The authors get you started with an overview of microservices, .NET 6, event storming, and domain-driven design.
  • Добавил: literator
  • Дата: 1-01-2022, 12:26
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Beginning Rust: Get Started with Rust 2021 Edition, 2nd EditionНазвание: Beginning Rust: Get Started with Rust 2021 Edition, 2nd Edition
Автор: Carlo Milanesi
Издательство: Apress
Год: 2022
Страниц[/b 424
[b]Язык
: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Learn to program with Rust 2021 Edition, in an easy, step-by-step manner on Unix, the Linux shell, macOS, and the Windows command line. As you read this book, you’ll build on the knowledge you gained in previous chapters and see what Rust has to offer. Beginning Rust starts with the basics of Rust, including how to name objects, control execution flow, and handle primitive types. You’ll see how to do arithmetic, allocate memory, use iterators, and handle input/output. Once you have mastered these core skills, you’ll work on handling errors and using the object-oriented features of Rust to build robust Rust applications in no time. Only a basic knowledge of programming in C or C++ and familiarity with a command console are required. After reading this book, you’ll be ready to build simple Rust applications.
  • Добавил: literator
  • Дата: 1-01-2022, 12:11
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Pro Jakarta Persistence in Jakarta EE 10, 4th EditionНазвание: Pro Jakarta Persistence in Jakarta EE 10, 4th Edition
Автор: Lukas Jungmann, Mike Keith
Издательство: Apress
Год: 2022
Страниц: 766
Язык: английский
Формат: pdf (true), epub
Размер: 10.9 MB

Learn to use the Jakarta Persistence API and other related APIs as found in the Jakarta EE 10 platform from the perspective of one of the specification creators. A one-of-a-kind resource, this in-depth book provides both theoretical and practical coverage of Jakarta Persistence usage for experienced Java developers. Authors Lukas Jungmann, Mike Keith, Merrick Schincariol, Massimo Nardone take a hands-on approach, based on their wealth of experience and expertise, by giving examples to illustrate each concept of the API and showing how it is used in practice. The examples use a common model from an overarching sample application, giving you a context from which to start and helping you to understand the examples within an already familiar domain.
  • Добавил: literator
  • Дата: 31-12-2021, 15:58
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Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and RubyНазвание: Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby
Автор: Jules J. Berman
Издательство: CRC Press
Год: 2014
Страниц: 402
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clinical and research datasets. The common computational tasks of medical informatics are accessible to anyone willing to learn the basics. Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby demonstrates that biomedical professionals with fundamental programming knowledge can master any kind of data collection. Requiring no more than a working knowledge of Perl, Python, or Ruby, Methods in Medical Informatics will have you writing powerful programs in just a few minutes.
  • Добавил: fisher1978
  • Дата: 31-12-2021, 08:37
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Название: Структуры и алгоритмы обработки данных. Примеры на языке Си
Автор: Хусаинов Б.С.
Издательство: Финансы и статистика
Год: 2004
ISBN: 5-279-02775-8
Формат: pdf
Страниц: 467
Размер: 135 Мб
Язык: Русский

Рассмотрены структуры данных, их представление и алгоритмы обработки, без знания которых невозможно современное компьютерное программирование. Приведены различные алгоритмы для работы с очередями, стеками, списками, деревьями, таблицами, графами. Подробно описаны алгоритмы внутренней и внешней сортировки и поиска данных в таблицах.
  • Добавил: literator
  • Дата: 30-12-2021, 18:09
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Machine Learning for Risk Calculations: A Practitioner's ViewНазвание: Machine Learning for Risk Calculations: A Practitioner's View
Автор: Ignacio Ruiz, Mariano Zeron
Издательство: Wiley
Год: 2022
Страниц: 464
Язык: английский
Формат: epub
Размер: 24.0 MB

State-of-the-art algorithmic Deep Learning and tensoring techniques for financial institutions. The computational demand of risk calculations in financial institutions has ballooned and shows no sign of stopping. It is no longer viable to simply add more computing power to deal with this increased demand. The solution? Algorithmic solutions based on Deep Learning and Chebyshev tensors represent a practical way to reduce costs while simultaneously increasing risk calculation capabilities. There are several open source libraries that offer Deep Learning functionality. The following are some of the most popular ones: TensorFlow, Keras, PyTorch.