Название: Professional Red Teaming: Conducting Successful Cybersecurity Engagements Автор: Jacob G. Oakley Издательство: Apress Год: 2019 Страниц: 215 Язык: английский Формат: pdf (true), epub Размер: 30.4 MB
Use this unique book to leverage technology when conducting offensive security engagements. You will understand practical tradecraft, operational guidelines, and offensive security best practices as carrying out professional cybersecurity engagements is more than exploiting computers, executing scripts, or utilizing tools. Professional Red Teaming introduces you to foundational offensive security concepts. The importance of assessments and ethical hacking is highlighted, and automated assessment technologies are addressed. The state of modern offensive security is discussed in terms of the unique challenges present in professional red teaming.
Название: Effective Python Development for Biologists: Tools and techniques for building biological programs Автор: Dr. Martin Jones Издательство: CreateSpace Independent Publishing Platform ISBN: 153910303X Год: 2016 Страниц: 296 Язык: английский Формат: pdf, djvu +code Размер: 10.07 MB
Python is rapidly becoming the standard language for many talks in scientific research, and is particularly popular in biology and bioinformatics. One of the great strengths of Python is the ecosystem of tools and libraries that have grown up around it. This book introduces the novice biologist programmer to tools and techniques that make developing Python code easier and faster and will help you to write more reliable, performant programs. Written by a biologist, it focusses on solving the problems that students and researchers encounter every day
Название: Statistical Data Cleaning with Applications in R Автор: Mark van der Loo, Edwin de Jonge Издательство: Wiley ISBN: 1118897153 Год: 2018 Страниц: 320 Язык: английский Формат: pdf, rtf, djvu Размер: 10.5 MB
A comprehensive guide to automated statistical data cleaning. The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.
Название: Линейное программирование. Теория и конечные методы. Серия: Физико-математическая библиотека инженера Автор: Давид Борисович Юдин и Евгений Григорьевич Гольштейн Издательство: Государственное издательство физико-математической литературы Год: 1963 Страниц: 776 Формат: pdf и djvu Качество: хорошее Размер файла: 26.59 MB Язык: русский
Линейное программирование дает способы находить наиболее выгодные варианты при планировании производства, перевозок и снабжения и при управлении сложными процессами. Внедрение методов линейного программирования в практику позволяет достичь значительной экономии средств и времени. В настоящей книге подробно излагаются математическая теория линейного программирования и вычислительные методы, позволяющие находить точное решение задачи за конечное число шагов.
Название: Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data Автор: Ankur A. Patel Издательство: O’Reilly Media, Inc. Год: 2019 Язык: английский Формат: epub, pdf (conv) Размер: 10.2 MB
Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover.
Название: Simple Deep Learning for Programmers: Write your own modern neural networks in Keras and Python for images and sequence data Автор: Lazy Programmer Издательство: Amazon Digital Services LLC ASIN: B07GTT616W Год: 2018 Язык: английский Формат: epub, azw3, rtf, pdf (conv) Размер: 10.18 MB
Want to learn deep learning and AI, but hate math? This book is an experiment for me. After years of teaching successful deep learning and machine learning courses online, I’ve come to notice a few patterns. One of them is that a large subset of students just RUN AWAY at the sight of math. This is somewhat problematic since machine learning is essentially applied math (e.g. instead of just writing down equations you’re programming the equations into a computer in order to perform some useful task). This book is an experiment to see how well students can learn some of the basic concepts in deep learning, without having to do any math or theoretical work.
Название: The Virtual Mind: Designing the Logic to Approximate Human Thinking Автор: Niklas Hageback Издательство: Chapman and Hall/CRC Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series Год: 2017 Страниц: 173 Язык: английский Формат: pdf (true), djvu Размер: 10.1 MB
The Virtual Mind: Designing the Logic to Approximate Human Thinking, through an in-depth and multidisciplinary review, outlines and defines the underpinnings for modelling human thinking through approximating the mind. Whilst there are plenty of efforts underway trying to mimic the brain, its complexities have so far proven insurmountable. But replicating the abstract notion of the mind provides a viable and quicker route. Broadly, the mind consists of a conscious and an unconscious part with separate logic schemes and these absorbs reality in diverging chunks, with the former truncated through narratives and norms and the latter able to amass broader perceptions of reality. These are held together and controlled through a governing mechanism. With the replication and establishment of the mind’s mechanistic rules and dynamic constants, tested through a big data approach from public media, it allows for standardization and machine generated human thinking, a Virtual Mind.
Название: Architecture for Blockchain Applications Автор: Xiwei Xu, Ingo Weber, Mark Staples Издательство: Springer Год: 2019 Страниц: 312 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book addresses what software architects and developers need to know in order to build applications based on blockchain technology, by offering an architectural view of software systems that make beneficial use of blockchains. It provides guidance on assessing the suitability of blockchain, on the roles blockchain can play in an architecture, on designing blockchain applications, and on assessing different architecture designs and tradeoffs. It also serves as a reference on blockchain design patterns and design analysis, and refers to practical examples of blockchain-based applications.
Название: Domain-Specific Knowledge Graph Construction Автор: Mayank Kejriwal Издательство: Springer Серия: SpringerBriefs in Computer Science Год: 2019 Язык: английский Формат: pdf (true), epub Размер: 15.6 MB
In recent years, knowledge graphs (KGs) have emerged as a major area in Artificial Intelligence (AI). Graphs have always been pervasive in the broader AI literature, but with the advent of large quantities of data on the Web ("Big Data") and in the broader commercial sphere, there emerged a need to enable machines to ‘understand’ and make use of this data in some productive analytical way. The inability of machines to truly understand English, and other ‘natural’ languages like it, with all their irregularities and nuances, has also been largely evident in the (unsuccessful) quest to achieve general AI and commonsense reasoning.
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