Машинное обучение и безопасность: защита систем с помощью данных и алгоритмов [2020] Кларенс Чио, Дэвид Фримэн

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Издание будет полезно всем специалистам по компьютерной безопасности для усовершенствования контролируемых систем.

Машинное обучение и безопасность: защита систем с помощью данных и алгоритмов [2020] Кларенс Чио, Дэвид Фримэн

Эта книга - руководство для всех, кто намерен освоить использование технологии машинного обучения для обеспечения безопасности компьютерных систем, от выявления различных аномалий до защиты конечных пользователей. Представлены примеры возможного практического применения технологии машинного обучения для решения таких задач, как обнаружение вторжения, классификация вредоносных программ и анализ сетевой среды. В дополнение к изучению основных алгоритмов и методик машинного обучения особое внимание уделено трудным задачам по созданию работоспособных, надежных масштабируемых систем извлечения и анализа данных в сфере обеспечения безопасности.

Кибербезопасность стратегии атак и обороны [2020] Юрий Диогенес, Эрдаль Озкайя

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Кибербезопасность стратегии атак и обороны [2020] Юрий Диогенес, Эрдаль Озкайя

Книга посвящена многим аспектам компьютерной безопасности - начиная от стратегии защиты до управления уязвимостями. В ней рассматриваются различные отраслевые стандарты и передовые методы реагирования, процессы взлома данных и политики безопасности, базовые средства контроля безопасности. Предполагается, что читатели этой книги знакомы с основными понятиями информационной безопасности и операционными системами Windows и Linux. Издание будет полезно специалистам по информационной безопасности и всем IT-специалистам, которые хотят узнать больше о кибербезопасности.

Machine Learning with TensorFlow [2021] Chris A. Mattmann

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Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers.

About the Technology
Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need.

Machine Learning with TensorFlow [2021] Chris A. Mattmann

Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10.

What's inside
• Machine Learning with TensorFlow
• Choosing the best ML approaches
• Visualizing algorithms with TensorBoard
• Sharing results with collaborators
• Running models in Docker

Practical System Programming with C - Pragmatic Example Applications in Linux and Unix-Based Operating Systems [2021] Sri Manikanta Palakollu

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The “secret sauce” of this book is its curated list of topics and solutions, which fit together through a set of different pragmatic examples; each topic is covered from scratch in an easy-to-learn way. On that journey, you’ll focus on practical implementations and an outline of best practices and potential pitfalls. The book also includes a bonus chapter with a list of advanced topics and directions to grow your skills.

What You Will Learn:
• Program with operating systems using the latest version of C
• Work with Linux
• Carry out multithreading with C
• Examine the POSIX standards
• Work with files, directories, processes, and signals
• Explore IPC and how to work with it

Practical System Programming with C - Pragmatic Example Applications in Linux and Unix-Based Operating Systems [2021] Sri Manikanta Palakollu

This book teaches system programming with the latest versions of C through a set of practical examples and problems. It covers the development of a handful of programs, implementing efficient coding examples. Practical System Programming with C contains three main parts: getting your hands dirty with multithreaded C programming; practical system programming using concepts such as processes, signals, and inter-process communication; and advanced socket-based programming which consists of developing a network application for reliable communication. You will be introduced to a marvelous ecosystem of system programming with C, from handling basic system utility commands to communicating through socket programming. With the help of socket programming you will be able to build client-server applications in no time.

Dive into algorithms [2021] Bradford Tuckfield

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You'll also learn how to:
• Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees
• Measure the efficiency and speed of algorithms
• Generate Voronoi diagrams for use in various geometric applications
• Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles
• Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions
• Use simulated annealing to perform global optimization
• Build a decision tree to predict happiness based on a person's characteristics

Dive into algorithms [2021] Bradford Tuckfield

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares. You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of s

Distributed Systems with Node.js [2021] Thomas Hunter Ii

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• Learn why running redundant copies of the same Node.js service is necessary
• Know which protocol to choose, depending on the situation
• Fine-tune your application containers for use in production
• Track down errors in a distributed setting to determine which service is at fault
• Simplify app code and increase performance by offloading work to a reverse proxy
• Build dashboards to monitor service health and throughput
• Find out why so many different tools are required when operating in an enterprise environment

Distributed Systems with Node.js [2021] Thomas Hunter Ii

Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack.

Bitcoin & Cryptocurrency Technologies: Bitcoin Mining, Blockchain Basics And Cryptocurrency Trading & Investing For Beginners [7 Books In 1] [2021] Weiser, Boris, Weiser, Boris

book 1 • this book focuses on the history of finance and bitcoin.
book 2 • this book is about the cypherpunks, blockchain, bitcoin mining and block reward process.
book 3 • this book focuses on satoshi nakamoto, aka the inventor of bitcoin and blockchain.
book 4 • this book is about cryptocurrency wallets.
book 5 • this book covers privacy based cryptocurrencies.•strategies on where to buy, how to buy and how to sell privacy based coins + fundamental and technical analysis
book 6 • this book is about bitcoin and cryptocurrency trading.•market manipulation techniques, how to build options strategies, trading formulas, leveraged trading strategies, bitmex & btc futures and more...
book 7 • this book is about bitcoin and cryptocurrency trading. bullish candlesticks, bearish candlesticks and continuation candlestick

Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL [2021] James Reinders, Ben Ashbaugh et al

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What You'll Learn
• Accelerate C++ programs using data-parallel programming
• Target multiple device types (e.g. CPU, GPU, FPGA)
• Use SYCL and SYCL compilers
• Connect with computing’s heterogeneous future via Intel’s oneAPI initiative

Who This Book Is For
Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.

Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL [2021] James Reinders, Ben Ashbaugh et al

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book.

Programming Rust, 2nd Edition (Early Release) [2021] Jim Blandy, Jason Orendorff

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You’ll learn:
● How to write fast, safe, concurrent programs in Rust
● Rust’s rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes
● How to design interfaces that fit well into the Rust ecosystem
Rust’s all-purpose Cargo tool for building, testing, and managing Rust packages
● High-level features like traits, generics, closures, and iterators that make Rust productive and flexible

Programming Rust, 2nd Edition (Early Release) [2021] Jim Blandy, Jason Orendorff

The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust’s rules clearly and economically. You’ll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust’s features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency.

Комбинаторика [1969] Виленкин

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Представителям самых различных специальностей приходится решать задачи, в которых рассматриваются те или иные комбинации, составленные из букв, цифр и иных объектов. Начальнику цеха надо распределить несколько видов работ между имеющимися станками, агроному — разместить посевы сельскохозяйственных культур на нескольких полях, заведующему учебной частью школы — составить расписание уроков, ученому-химику — рассмотреть возможные связи между атомами и молекулами, лингвисту — учесть различные варианты значений букв незнакомого языка и т. д. Область мате­матики, в которой изучаются вопросы о том, сколько различных комбинаций, подчиненных тем или иным условиям, можно составить из заданных объектов, называется комбинаторикой.

Комбинаторика [1969] Виленкин

В предлагаемой вниманию читателя книге о комбинаторных проблемах рассказывается в занимательной, популярной форме. Тем не менее в ней разбираются и некоторые довольно сложные комбинаторные задачи, дается понятие о методах рекуррентных соотношений и производящих функций.

DAMA-DMBOK: Свод знаний по управлению данными. Второе издание [2020]

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Задачи "DAMA-DMBOK2":
● Выработка общепринятого согласованного представления об областях знаний по управлению данными (выделено 11 таких областей);
● Определение руководящих принципов управления данными;
● Предоставление стандартных определений для наиболее часто используемых понятий (общих и по областям знаний);
● Обзор общепринятых лучших практик, широко распространенных методов и методик, а также наиболее известных альтернативных подходов;
● Краткий обзор общих организационных и культурных вопросов;
● Уточнение границ сферы управления данными.