Название: Cryptography for Secure Encryption
Автор: Robert G. Underwood
Издательство: Springer
Год: 2022
Страниц: 324
Размер: 10,04 МБ
Формат: PDF
Язык: English

This text is intended for a one-semester course in cryptography at the advanced undergraduate/Master's degree level. It is suitable for students from various STEM backgrounds, including engineering, mathematics, and computer science, and may also be attractive for researchers and professionals who want to learn the basics of cryptography. Advanced knowledge of computer science or mathematics (other than elementary programming skills) is not assumed. The book includes more material than can be covered in a single semester.

Название: Инженерия машинного обучения
Автор: Бурков А.
Издательство: ДMK
Год: 2022
Формат: True PDF
Страниц: 308
Размер: 15 Mb
Язык: Русский

Книга представляет собой подробный обзор передовых практик и паттернов проектирования в области прикладного машинного обучения. В отличие от многих учебников, уделяется внимание инженерным аспектам МО. Рассматриваются сбор, хранение и предобработка данных, конструирование признаков, а также тестирование и отладка моделей, развертывание и вывод из эксплуатации, сопровождение на этапе выполнения и в процессе эксплуатации

Название: Unity in Embedded System Design and Robotics: A Step-by-Step Guide
Автор: Ata Jahangir Moshayedi, Amin Kolahdooz, Liefa Liao
Издательство: CRC Press
Год: 2023
Страниц: 555
Размер: 47.67 МБ
Формат: PDF
Язык: English

The first book of its kind, Unity in Embedded System Design and Robotics provides a step-by-step guide to Unity for embedded system design and robotics. It is an open gateway for anyone who wants to learn Unity through real projects and examples as well as a particularly useful aid for both professionals and students in the fields of embedded system design and robotics.

Название: Gray Hat Hacking: The Ethical Hacker's Handbook, 6th Edition
Автор: Allen Harper, Ryan Linn, Stephen Sims, Michael Baucom, Huascar Tejeda, Daniel Fernandez, Moses Frost
Издательство: McGraw Hill
Год: 2022
Формат: True PDF
Страниц: 706
Размер: 31,7 Mb
Язык: English

Up-to-date strategies for thwarting the latest, most insidious network attacks
This fully updated, industry-standard security resource shows, step by step, how to fortify computer networks by learning and applying effective ethical hacking techniques. Based on curricula developed by the authors at major security conferences and colleges, the book features actionable planning and analysis methods as well as practical steps for identifying and combating both targeted and opportunistic attacks.

Название: Введение в объектно-ориентированный дизайн с Java
Автор: Тимур Машнин
Издательство: СИ
Год: 2022
Формат: PDF
Страниц: 247
Размер: 12,6 Mb
Язык: Русский

Эта книга ориентирована на тех, кто уже знаком с языком программирования Java и хотел бы углубить свои знания и изучить объектно-ориентированный анализ и проектирование программного обеспечения. Вы познакомитесь с основными принципами и паттернами объектно-ориентированного дизайна, используемыми при разработке программных систем Java. Вы научитесь моделировать системы Java с помощью UML диаграмм, познакомитесь с основными понятиями и принципами объектно-ориентированного подхода, изучите порождающие, структурные и поведенческие шаблоны проектирования. Вы узнаете, как создавать модульное, гибкое и многоразовое программное обеспечение, применяя объектно-ориентированные принципы и шаблоны проектирования.

Название: Elements of Numerical Mathematical Economics with Excel: static and dynamic optimization
Автор: Giovanni Romeo
Издательство: Academic Press
Год: 2020
Формат: True PDF
Страниц: 815
Размер: 25,1 Mb
Язык: English

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel.

Название: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Автор: Mahmoud Parsian
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 438
Размер: 12,5 Mb
Язык: English

Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.
In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.

Название: Data Science on the Google Cloud Platform, 2nd Edition
Автор: Valliappa Lakshmana
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 462
Размер: 17,2 Mb
Язык: English

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.
Through the course of this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.

Название: Atomic Kotlin (Final Release)
Автор: Bruce Eckel and Svetlana Isakova
Издательство: Leanpub
Год: 2021-11-22
Формат: PDF, ePUB, MOBI
Страниц: 588
Размер: 10 Mb
Язык: English

For both beginning and experienced programmers! From the author of the multi-award-winning Thinking in C++ and Thinking in Java together with a member of the Kotlin language team comes a book that breaks the concepts into small, easy-to-digest "atoms," along with exercises supported by hints and solutions directly inside IntelliJ IDEA!
Version 1.1 (November 2021) includes updates for Kotlin 1.5 (works with 1.6) and all corrections/clarifications since the original release.

Название: Machine Learning Using Python
Автор: U Dinesh Kumar Manaranjan Pradhan
Издательство: Wiley
Год: 2019
Формат: PDF
Страниц: 366
Размер: 15 Mb
Язык: English

This book is written to provide a strong foundation in Machine Learning using Python libraries by providing real-life case studies and examples. It covers topics such as Foundations of Machine Learning, Introduction to Python, Descriptive Analytics and Predictive Analytics. Advanced Machine Learning concepts such as decision tree learning, random forest, boosting, recommender systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.