Litgu.ru - Литературный Гуру

Название: Data Science: The Hard Parts: Techniques for Excelling at Data Science
Автор: Daniel Vaughan
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 257
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB, 10.2 MB

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and Data Science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—Machine Learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. I’ll posit that learning and practicing data science is hard. It is hard because you are expected to be a great programmer who not only knows the intricacies of data structures and their computational complexity but is also well versed in Python and SQL. Statistics and the latest Machine Learning predictive techniques ought to be a second language to you, and naturally you need to be able to apply all of these to solve actual business problems that may arise. But the job is also hard because you have to be a great communicator who tells compelling stories to nontechnical stakeholders who may not be used to making decisions in a data-driven way.

Название: Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Final)
Автор: Anthony Sarkis
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 332
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 21.3 MB, 13.2 MB

Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. In this hands-on guide, author Anthony Sarkis—lead engineer for the Diffgram AI training data software—shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the concepts, tools, and processes they need to succeed with training data.

Название: FastAPI: Modern Python Web Development (Final)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 280
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.0 MB, 10.2 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.

Название: ISTQB Certified Tester Foundation Level: A Self-Study Guide Syllabus v4.0
Автор: Lucjan Stapp, Adam Roman, Michaël Pilaeten
Издательство: Springer
Год: 2024
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

This book is aimed at everyone preparing for the ISTQB Certified Tester – Foundation Level exam based on the Foundation Level syllabus (version 4.0) published in 2023. It provides candidates with reliable knowledge based on this document and thus distinguishes itself from all the information about ISTQB syllabi and exams on the Internet, which is often of rather poor quality and may even contain serious errors. The system created by ISTQB allows defining career paths for testing professionals based on a three-level certification program that includes Foundation Level, Advanced Level, and Expert Level. The entry point is the Foundation Level described in this book. Holding the Foundation Level certification is a prerequisite for earning subsequent certifications. The holders of a Foundation Level certificate can expand their knowledge of testing by obtaining an Advanced Level qualification. The advanced level is the starting point for acquiring further knowledge and skills at the expert level. A person who has already gained experience as a test manager, for example, can choose to further develop their career as a tester by obtaining expert-level certifications in the areas of test management and test process improvement. In addition to the core track, ISTQB also offers specialized education programs on topics such as acceptance testing, artificial intelligence testing, automotive testing, gaming machine testing, game testing, mobile application testing, model-based testing, performance testing, security testing, test automation, or usability testing.

Название: Beyond the Algorithm: AI, Security, Privacy, and Ethics (Early Release)
Автор: Omar Santos, Petar Radanliev
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 366
Язык: английский
Формат: pdf, epub
Размер: 17.6 MB

Artificial Intelligence (AI) is increasingly becoming a part of our daily lives. This book offers a comprehensive framework for comprehending and addressing the deeply interrelated challenges of AI, privacy, security, and ethics. It serves as an academic resource and a guide for navigating the complexities of this rapidly evolving terrain. “Beyond the Algorithm” will significantly contribute to ongoing discussions and help shape a future where AI can be both innovative and responsible. The book employs a multidisciplinary approach that draws on insights from cybersecurity, legal studies, philosophy, and Data Science. This text is written in a technical manner suitable for academic researchers. Still, it has also been structured to be easily understood by policy-makers, legal practitioners, cybersecurity and AI professionals. The in-depth analysis and case studies presented will be particularly enlightening for Computer Science and cybersecurity graduate students. Moreover, anyone interested in comprehending the broader implications of AI will find this comprehensive examination useful.

Название: Programming Your GPU with OpenMP: Performance Portability for GPUs
Автор: Tom Deakin, Timothy G. Mattson
Издательство: The MIT Press
Год: 2023
Страниц: 336
Язык: английский
Формат: epub
Размер: 13.1 MB

The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model. Today’s computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP, Tom Deakin and Timothy Mattson help everyone, from beginners to advanced programmers, learn how to use OpenMP to program a GPU using just a few directives and runtime functions. Then programmers can go further to maximize performance by using CPUs and GPUs in parallel—true heterogeneous programming. And since OpenMP is a portable API, the programs will run on almost any system. This book will help you learn how to program a GPU with OpenMP. The first part of the book provides the background you need to understand GPU programming with OpenMP. We start by reviewing hardware developments that programmers need to understand. We explain the GPU, its differences and similarities to the modern CPU. Next, we include a chapter that summarizes how to use OpenMP to program multithreaded systems (i.e., multicore systems with a shared address space). With this background in place, you will be ready for our core topic: how to use OpenMP to program heterogeneous systems composed of CPUs and GPUs. An online repository containing source code for the example programs from the book—provided in all languages currently supported by OpenMP: C, C++, and Fortran.

Название: Programming with Python for Engineers
Автор: Sinan Kalkan, Onur Tolga Sehitoglu, Gokturk Ucoluk
Издательство: Independently published
Год: Nov 09, 2022
Страниц: 259
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

An interactive book introducing Python to engineers and engineering students. This book is intended to be an accompanying textbook for teaching programming to science and engineering students with no prior programming expertise. This endeavour requires a delicate balance between providing details on computers & programming in a complete manner and the programming needs of science and engineering disciplines. With the hopes of providing a suitable balance, the book uses Python as the programming language, since it is easy to learn and program. Moreover, for keeping the balance, the book is formed of three parts: • Part I: The Basics of Computers and Computing: The book starts with what computation is, introduces both the present-day hardware and software infrastructure on which programming is performed and introduces the spectrum of programming languages; • Part II: Programming with Python: The second part starts with the basic building blocks of Python programming and continues with providing the ground formation for solving a problem in to Python. Since almost all science and engineering libraries in Python are written with an object-oriented approach, a gentle introduction to this concept is also provided in this part; • Part III: Using Python for Science and Engineering Problems.

Название: 42 проекта на Scratch 3 для юных программистов
Автор: Голиков Д.
Издательство: БХВ-Петербург
Год: 2019
Cтраниц: 185, цвет.ил.
Формат: pdf
Размер: 53 мб
Язык: русский

Книга написана на основе опыта обучения программированию на языке Scratch в кружке юных программистов и протестирована на сотне детей 7–12 лет. Материал рассчитан на самостоятельное, без помощи взрослых, изучение Scratch школьниками 2–5 классов, имеющими базовые навыки управления компьютером. Доходчивость изложения позволит детям сразу начинать создавать увлекательные проекты, а присущий автору юмор сделает это занятие веселым. Большое количество проектов и заданий для креативной самостоятельной работы поможет творчески применять многочисленные возможности Scratch.

Название: Теория и практика C++
Автор: Шилдт Г.
Год издания: 1996
Издательство: BHV - Санкт-Петербург
ISBN: 5-7791-0029-2
Страниц: 416
Формат: pdf
Размер: 25 Мб

Книга Герберта Шилдта, одного из самых известных авторов компьютерной литературы, посвящена обсуждению сложных вопросов программирования. В ней подробно рассмотрены параметризованные функции и классы, а также такие задачи программирования, как реализация разреженных массивов, построение программ разбора математических выражений, алгоритмы шифрования и сжатия данных, а также проблемы разработки собственных языков программирования и написания интерпретаторов для них. Приводятся ценные практические советы по приемам и методам работы, а также тексты готовых работающих программ.

Название: Ultimate ChatGPT Handbook for Enterprises: Transform the Enterprise Landscape by Leveraging AI Capabilities, Prompt Engineering, GPT Solution-Cycles of ChatGPT with Python and Java
Автор: Harald Gunia, Massimiliano Zattera, Karolina Galinska
Издательство: Orange Education Pvt Ltd, AVA
Год: November 2023
Страниц: 616
Язык: английский
Формат: epub (true)
Размер: 16.9 MB

Empowering the Global Workforce with ChatGPT Expertise. The first chapter provides a solid foundation by tracing the evolution of GPT models and exploring the strides towards Artificial General Intelligence (AGI) and Generative AI made by GPT-4 and its plugin ecosystem. The narrative then introduces the CapabilityGPT framework, a practical methodology for leveraging the expansive capabilities of ChatGPT in enterprise settings. We then delve into the collaborative dynamics between humans and AI across various enterprise roles and explore architectural patterns to guide the adoption of Generative AI in the enterprise IT landscape. Detailed discussions around advanced GPT prompt engineering techniques and prompt-based intelligent assistants offer an accelerated pathway to creating robust AI solutions. In the concluding chapters, the focus shifts to the practical execution of agile GPT projects, drawing from the rich experience of the authors acquired during multiple pioneering GPT engagements, alongside hands-on applications through frameworks like LangChain and predictive-powers for Python and Java developers respectively.