Название: Black Hat Python: Программирование на Python для хакеров и пентестеров
Автор: Justin Seitz
Издательство: nostarch press
Год: 2015
Формат: PDF
Страниц: 237
Размер: 2.4 MB
Язык:русcкий

Когда дело доходит до создания мощных и эффективных инструментов взлома, Python является языком выбора для большинства аналитиков безопасности. Но как же происходит это волшебство?
В Black Hat Python, от Юстина Зейтца (автора популярного Gray Hat Python), вы будете исследовать более темную сторону возможностей Python - писать сетевые снифферы, манипулировать пакетами, заражать виртуальные машины, создавать скрытые трояны и многое другое

Название: Data Science For Dummies, 2nd Edition
Автор: Lillian Pierson
Издательство: For Dummies
Год: 2017
Страниц: 384
Формат: True PDF, EPUB
Размер: 25 Mb
Язык: English

Your ticket to breaking into the field of data science!
Jobs in data science are projected to outpace the number of people with data science skills—making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of an organization's massive data sets and applying their findings to real-world business scenarios.

Название: Coding All-in-One For Dummies
Автор: Nikhil Abraham
Издательство: For Dummies
Год: 2017
Страниц: 792
Формат: True PDF, EPUB, AZW3
Размер: 66 Mb
Язык: English

See all the things coding can accomplish
The demand for people with coding know-how exceeds the number of people who understand the languages that power technology. Coding All-in-One For Dummies gives you an ideal place to start when you're ready to add this valuable asset to your professional repertoire. Whether you need to learn how coding works to build a web page or an application or see how coding drives the data revolution, this resource introduces the languages and processes you'll need to know.

Название: Practical Social Network Analysis with Python
Автор: Ankith Mohan
Издательство: Springer
Год: 2018
Страниц: 329
Формат: PDF, EPUB
Размер: 27 Mb
Язык: English

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis.

Название: Neural Networks and Deep Learning: A Textbook
Автор: Charu C. Aggarwal
Издательство: Springer
Год: 2018
Страниц: 497
Формат: PDF, EPUB
Размер: 39 Mb
Язык: English

This book covers both classical and modern models in deep learning. The chapters of this book span three categories:
The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec.

Название: Beginning Hybrid Mobile Application Development
Автор: Panhale, Mahesh
Издательство: Apress
Год: 2016
ISBN: 9781484213155
Формат: pdf
Страниц: XIX, 222
Размер: 16,8 mb
Язык: English

The book has a case study on developing healthcare hybrid applications and retail survey hybrid applications.

Название: The Cyber Risk Handbook: Creating and Measuring Effective Cybersecurity Capabilities
Автор: Domenic Antonucci
Издательство: Wiley
Год: 2017
Формат: epub
Размер: 5,1 Мб
Язык: English

The Cyber Risk Handbook is the practitioner's guide to implementing, measuring and improving the counter-cyber capabilities of the modern enterprise. The first resource of its kind, this book provides authoritative guidance for real-world situations, and cross-functional solutions for enterprise-wide improvement. Beginning with an overview of counter-cyber evolution, the discussion quickly turns practical with design and implementation guidance for the range of capabilities expected of a robust cyber risk management system that is integrated with the enterprise risk management (ERM) system. Expert contributors from around the globe weigh in on specialized topics with tools and techniques to help any type or size of organization create a robust system tailored to its needs. Chapter summaries of required capabilities are aggregated to provide a new cyber risk maturity model used to benchmark capabilities and to road-map gap-improvement.

Название: An Introduction to Unreal Engine 4 (Focal Press Game Design Workshops)
Автор: Andrew Sanders
Издательство: CRC Press
Год: 2016
Страниц: 270
Формат: PDF
Размер: 250 Mb
Язык: English

This book serves as an introduction to the level design process in Unreal Engine 4.

Автор: Marc Mintz
Название: Practical Paranoia iOS 11 Security Essentials
Издательство: Amazon Digital Services LLC
Год: 2017
ISBN: B075VBSXDQ
Язык: English
Формат: pdf
Размер: 90,4 mb
Страниц: 518

New edition, completely updated for iOS 11, released September 23, 2017. The best-selling, easiest, step-by-step, most comprehensive guide to securing your home or business iPhones and iPads.

Название: Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform
Автор: Mathew Salvaris
Издательство: Apress
Год: 2018
Страниц: 284
Формат: PDF, EPUB
Размер: 16 Mb
Язык: English

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.