Название: Sequential and Parallel Algorithms and Data Structures: The Basic Toolbox
Автор: Peter Sanders, Kurt Mehlhorn
Издательство: Springer
Год: 2019
Страниц: 516
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Every computer scientist and every professional programmer should know about the basic algorithmic toolbox. Authors address the paradigm shift towards the parallel algorithms required to solve modern performance-critical applications. Includes many examples, pictures, informal explanations, exercises, and implementation notes with efficient implementations in languages such as C++ and Java.

Название: Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks
Автор: Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 385
Размер: 11.4 Mb
Язык: English

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples.

Название: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security
Автор: Sushil Jajodia, George Cybenko, Peng Liu
Издательство: Springer
Год: 2019
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 15.7 MB

Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. In this book, we leverage reinforcement learning as a unified framework to design effective adaptive cyber defenses against zero-day attacks.

Название: Machine Learning for Cyber Security
Автор: Xiaofeng Chen, Xinyi Huang
Издательство: Springer
Год: 2019
Страниц: 410
Язык: английский
Формат: pdf (true)
Размер: 35.23 MB

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi’an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.

Название: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
Автор: Wojciech Samek, Gregoire Montavon, Andrea Vedaldi
Издательство: Springer
Серия: Lecture Notes in Computer Science
Год: 2019
Страниц: 435
Язык: английский
Формат: pdf (true)
Размер: 51.8 MB

Разработка «интеллектуальных» систем, которые могут принимать решения и работать автономно, может привести к более быстрым и последовательным решениям. Ограничивающим фактором для более широкого внедрения технологии искусственного интеллекта (ИИ) являются риски, связанные с отказом от контроля и надзора со стороны человека за «интеллектуальными» машинами.

Название: Mastering Professional Scrum: A Practitioner’s Guide to Overcoming Challenges and Maximizing the Benefits of Agility (Final)
Автор: Stephanie Ockerman, Simon Reindl
Издательство: Addison-Wesley Professional
Год: 2019
Страниц: 228
Язык: английский
Формат: pdf
Размер: 10.5 MB

Книга "Освоение профессионального Скрам (Scrum)" предназначена для тех, кто хочет повысить свою ценность, используя Scrum более эффективно. Ведущие практики Scrum Стефани Окерман и Саймон Рейндл опираются на годы обучения и коучинга Scrum, чтобы помочь вам вернуться к основным принципам и применять Скрам с профессионализмом, необходимым для достижения его преобразующего потенциала.

Название: Microservices with Docker, Flask, and React
Автор: Michael Herman
Издательство: TestDriven Labs
Год: 2019
Формат: PDF
Страниц: 577
Размер: 26.4 Mb
Язык: English

Learn how to build, test, and deploy microservices powered by Docker, Flask, and React!
In this course, you will learn how to quickly spin up a reproducible development environment with Docker to manage a number of microservices.

Название: Building REST APIs with Flask: Create Python Web Services with MySQL
Автор: Kunal Relan
Издательство: Apress
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 199
Размер: 11.7 Mb
Язык: English

Develop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using SQLAlchemy ORM.

Название: C++ Crash Course: A Fast-Paced Introduction
Автор: Josh Lospinoso
Издательство: No Starch Press
Год: 2019
Формат: PDF
Страниц: 794
Размер: 10,09 МБ
Язык: English

A fast-paced, thorough introduction to modern C++ written for experienced programmers. After reading C++ Crash Course, you'll be proficient in the core language concepts, the C++ Standard Library, and the Boost Libraries.
C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of.

Название: Deep Learning from Scratch: Building with Python from First Principles (First Release)
Автор: Seth Weidman
Издательство: O'Reilly Media
Год: 2019
Формат: true pdf/epub
Страниц: 252
Размер: 12.1 Mb
Язык: English

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.
Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects.