Название: Программирование на языке Transact SQL при работе с СУБД Micriosoft SQL Server
Автор: Шумаков П.В.
Издательство: М.: АСУ-61
Год: 2019
Формат: pdf, doc
Страниц: 772
Размер: 15 mb
Язык: Русский

Рассматриваются синтаксис и примеры использования конструкций языка Transact SQL при построении запросов к данным и написании программ в среде СУБД Micriosoft SQL Server. Издание будет полезно администраторам и разработчикам приложений баз данных, системным аналитикам и интеграторам, специалистам по анализу данных, студентам и преподавателям по ИТ-дисциплинам, а также всем интересующимся вопросами использования реляционных СУБД. Материал может применяться как для последовательного изучения структур языка, так и служить справочным руководством.

Название: Machine Learning Algorithms From Scratch with Python
Автор: Jason Brownlee
Издательство: Jason Brownlee
Год: 2018
Формат: PDF
Страниц: 237
Размер: 12 Mb
Язык: English

Welcome to Machine Learning Algorithms From Scratch. This is your guide to learning the details of machine learning algorithms by implementing them from scratch in Python. You will discover how to load data, evaluate models and implement a suite of top machine learning algorithms using step-by-step tutorials and sample code.

Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
Автор: K.G. Srinivasa, G.M. Siddesh
Издательство: Springer
Год: 2020
Страниц: 318
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

This book discusses topics related to bioinformatics, statistics, and Machine Learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and Machine Learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.

Название: Practical Optimization with MATLAB
Автор: Ancau, Mircea
Издательство: Cambridge Scholars Publishing
Год: 2019
Формат: PDF
Страниц: 292
Размер: 12,7 Mb
Язык: English

This easy-to-follow guide provides academics and industrial engineers with a state-of-the-art numerical approach to the most frequent technical and economical optimization methods. In an engaging manner, it provides the reader with not only a systematic and comprehensive study, but also with necessary and directly implementable code written in the versatile and readily available platform Matlab.

Название: VHDL. Справочное пособие по основам языка
Автор: В.П. Бабак, А.Г. Корченко, Н.П. Тимошенко, С.Ф. Филоненко
Издательство: Додэка XXI
Год: 2008
Серия: Программируемые системы
Страниц: 219
ISBN: 978-5-94120-169-3
Формат: pdf
Размер: 10,2 Мб
Язык: Русский

Представляет собой вводный курс в язык VHDL и предназначена для быстрого ознакомления с базовыми концептуальными положениями этого языка. В данной книге приводятся базовые принципы параллельного программирования, положенные в основу языка VHDL, а также принципы организации VHDL-проекта и взаимосвязь компонентов проекта с физическими процессами, протекающими в реальных цифровых устройствах.

Название: Swift in Depth
Автор: Tjeerd in 't Veen
Издательство: Manning Publications
Год: 2018
Страниц: 439
Язык: английский
Формат: pdf, djvu
Размер: 10.2 MB

Swift in Depth guides you concept by concept through the skills you need to build professional software for Apple platforms, such as iOS and Mac; also on the server with Linux. By following the numerous concrete examples, enlightening explanations, and engaging exercises, you'll finally grok powerful techniques like generics, efficient error handling, protocol-oriented programming, and advanced Swift patterns. Author Tjeerd in 't Veen reveals the high-value, difficult-to-discover Swift techniques he's learned through his own hard-won experience. Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if effectively used, can help you create even better apps with clean, crystal-clear code and awesome features. Swift in Depth is designed to help you unlock these tools and quirks and get developing next-gen apps, web services, and more!

Название: Deep In-memory Architectures for Machine Learning
Автор: Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 174
Размер: 10 Mb
Язык: English

This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

Название: Introducing Algorithms in C: A Step by Step Guide to Algorithms in C
Автор: Luciano Manelli
Издательство: Apress
Год: 2020
Формат: true pdf/epub
Страниц: 146
Размер: 10 Mb
Язык: English

Study elementary and complex algorithms with clear examples and implementations in C. This book introduces data types (simple and structured) and algorithms with graphical and textual explanations. In the next sections, you’ll cover simple and complex standard algorithms with their flowcharts: everything is integrated with explanations and tables to give a step-by-step evolution of the algorithms.

Название: Practical AI on the Google Cloud Platform (Early Release)
Автор: Micheal Lanham
Издательство: O'Reilly Media
Год: 2020
Формат: epub/azw3/pdf(conv.)
Размер: 11.2 Mb
Язык: English

AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. In this book, AI novices will learn how to use Google’s AI-powered cloud services to do everything from analyzing text, images, and video to creating a chatbot.
Author Micheal Lanham takes you step-by-step through building models, training them, and then expanding on them to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, this book will get you up and running with Google Cloud Platform, whether you’re looking to build a simple business AI application or an AI assistant.

Название: Deep Learning with jаvascript: Neural networks in TensorFlow.js (+code)
Автор: Shanqing Cai, Stan Bileschii, Eric Nielsen
Издательство: Manning Publications
Год: 2020
Формат: True PDF
Страниц: 350
Размер: 14.1 Mb
Язык: English

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now jаvascript developers can build deep learning apps without relying on Python or R.