Название: Algorithms and Data Structures for Massive Datasets
Автор: Dzejla Medjedovic and Emin Tahirovic
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 306
Размер: 21,4 Mb
Язык: English

In Algorithms and Data Structures for Massive Datasets , you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system.
Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new techniques that are perfect for handling modern big data applications.

Название: Training Data for Machine Learning
Автор: Anthony Sarkis
Издательство: O’Reilly Media
Год: 2022-05-26: Fifth release
Формат: ePUB
Размер: 11 Mb
Язык: English

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to

Название: Natural Language Processing with Transformers: Building Language Applications with Hugging Face
Автор: Lewis Tunstall , Leandro von Werra , Thomas Wolf
Издательство: O’Reilly Media, Inc
Год: 2022
Формат: ePUB
Страниц: 406
Размер: 10 Mb
Язык: English

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Название: Up and Running on DAX for Power BI: A Concise Guide for Non-Technical Users
Автор: Alison Box
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 376
Размер: 31,3 Mb
Язык: English

Take a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the concepts of context transition and table expansion, are considered advanced and challenging areas of DAX.

Название: Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps
Автор: Hiu Yung Wong
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 299
Размер: 10 Mb
Язык: English

This textbook introduces quantum computing to readers who do not have much background in linear algebra. The author targets undergraduate and master students, as well as non-CS and non-EE students who are willing to spend about 60 -90 hours seriously learning quantum computing. Readers will be able to write their program to simulate quantum computing algorithms and run on real quantum computers on IBM-Q. Moreover, unlike the books that only give superficial, “hand-waving” explanations, this book uses exact formalism so readers can continue to pursue more advanced topics based on what they learn from this book.

Название: Concepts of Programming Languages 12th Edition
Автор: Robert W. Sebesta
Издательство: Pearson
Год: 2019
Формат: True PDF
Страниц: 784
Размер: 10,5 Mb
Язык: English

The goals, overall structure, and approach of this twelfth edition of Concepts of Programming Languages remains the same as those of the eleven previous editions. The principal goals are to introduce the fundamental constructs of contemporary programming languages and to provide the reader with the tools necessary for the critical evaluation of existing and future programming languages.

Название: Основы C#: учебно-методическое пособие
Автор: Шамиева Р., Казгачев В.
Издательство: Алматы: Самал
Год: 2021
Формат: pdf
Страниц: 328
Размер: 20 mb
Язык: Русский
Качество: Среднее

Учебно-методическое пособие составлено и соответствии с программой дисциплины и содержатся задания для лабораторного практикума по дисциплине. Пособие ориентировано на студентов, начинающих овладевать C# языком и средой разработки MS Visual Studio.

Название:Discovering Modern C++: An Intensive Course for Scientists, Engineers, and Programmers, 2nd Edition (Final)
Автор: Peter Gottschling
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2022
Страниц: 1898
Язык: английский
Формат: epub
Размер: 67.9 MB

Write Powerful, Modern C++ Code for Scientific, Engineering, and Embedded Applications. Discovering Modern C++, Second Edition, will help you master valuable skills for programming with C++ at nearly every level, from "close to the hardware" to high-level abstractions. Updated for C++17 and C++ 20, this intensive introduction teaches C++ using realistic examples from diverse technical problem domains. Drawing on extensive experience teaching C++ to physicists, mathematicians, engineers, and students, Peter Gottschling guides you smoothly to sophisticated approaches based on advanced features.

Название: C++ Boost Graph Library
Издательство: Питер
Автор: Джереми Сик, Лай-Кван Ли, Эндрю Ламсдэйн
Год: 2006
Страниц: 304
Язык: русский
Формат: pdf
Размер: 31 мб

Издание, являющееся переводом одной из книг серии «C++ in Depth», посвящено описанию Boost Graph Library (BGL) — библиотеки для построения структур данных и алгоритмов вычислений на графах, предназначенных для решения самых разнообразных задач: от оптимизации интернет-маршрутизации и планирования телефонных сетей до задач молекулярной биологии. Содержит развернутое описание BGL, демонстрирует примеры приложений к реальным задачам.

Название: Python for TensorFlow Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning & Information
Год: 2019
Формат: PDF
Страниц: 235
Размер: 10 Mb
Язык: English

As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources.