Название: Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts
Автор: Varun Gupta, Chetna Gupta
Издательство: Auerbach Publications/CRC Press
Год: 2021
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 22.5 MB

Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students. This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements...

Название: The Hardware Hacking Handbook
Автор: Jasper van Woudenberg and Colin O’Flynn
Издательство: No Starch Press
Год: 2021
Формат: ePUB
Страниц: 300
Размер: 45 Mb
Язык: English

Embedded devices are chip-size microcomputers small enough to be included in the structure of the object they control, and they’re everywhere—in phones, cars, credit cards, laptops, medical equipment, even critical infrastructure. This means understanding their security is critical. The Hardware Hacking Handbook takes you deep inside different types of embedded systems, revealing the designs, components, security limits, and reverse-engineering challenges you need to know for executing effective hardware attacks.

Название: A Quick Reference to Data Structures and Computer Algorithms
Автор: Raji Ramakrishnan Nair, Divya Joseph, Alen Joseph
Издательство: BPB Publications
Год: 2019
Страниц: 406
Язык: английский
Формат: pdf, epub
Размер: 10.37 MB

The book gives full understanding of theoretical topic and easy implementation in programming. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs. It contains lot of figures, which will help students to visualize the concept effectively. Diagrams help students to understand how the programs involving data structure concepts are implemented within the computer system. Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in – depth knowledge of students about the concept discussed.

Название: Hacking Kubernetes: Threat-Driven Analysis and Defense (Final)
Автор: Andrew Martin, Michael Hausenblas
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 311
Язык: английский
Формат: pdf, epub
Размер: 22.0 MB

Want to run your Kubernetes workloads safely and securely? This practical book provides a threat-based guide to Kubernetes security. Each chapter examines a particular component's architecture and potential default settings and then reviews existing high-profile attacks and historical Common Vulnerabilities and Exposures (CVEs). Authors Andrew Martin and Michael Hausenblas share best-practice configuration to help you harden clusters from possible angles of attack.

Название: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering
Автор: Wengang Zhang, Yanmei Zhang, Xin Gu
Издательство: Springer
Год: 2022
Страниц: 143
Язык: английский
Формат: pdf (true), epub
Размер: 50.2 MB

This book summarizes the application of soft computing techniques, Machine Learning approaches, Deep Learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC, ML, DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC, ML, DL and optimizations in Geoengineering and Geoscience.

Название: Data Analytics for the Social Sciences: Applications in R
Автор: G. David Garson
Издательство: Routledge
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true)
Размер: 23.9 MB

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests.

Название: Reliable Machine Learning: Applying SRE Principles to ML in Production (Early Release)
Автор: Cathy Chen, Kranti Parisa, Niall Richard Murphy
Издательство: O’Reilly Media, Inc.
Год: 2021-10-12
Страниц: 93
Язык: английский
Формат: epub
Размер: 10.2 MB

Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. Most of this book is about managing machine learning systems and production level ML pipelines. This involves work that is quite different from the work often performed by many data scientists and machine learning researchers, who ideally spend their days trying to develop new predictive models and methods that can squeeze out another percentage point of accuracy. Instead, in this book, we focus on ensuring that a system that includes an ML model exhibits consistent, robust, and reliable system level behavior.

Название: Practical Swarm Intelligence in Python: Using Swarm Intelligence and Evolutionary Algorithms to Solve Problems in Engineering and Science
Автор: Ronald T. Kneusel, Ph.D.
Издательство: Independently published
Год: 2021
Страниц: 250
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB

Swarm intelligence and evolutionary algorithms are powerful approaches to solving optimization problems, or anything that can be cast as an optimization problem. This includes everything from designing neural network architectures (AutoML) to arranging products in a grocery store to maximize profit. This book introduces the reader to these techniques via a Python toolkit and many experiments.

Название: The Art of 64-Bit Assembly, Volume 1: x86-64 Machine Organization and Programming (Final)
Автор: Randall Hyde
Издательство: No Starch Press, Inc.
Год: 2022
Страниц: 1035
Язык: английский
Формат: pdf (true), epub
Размер: 18.3 MB

Randall Hyde's The Art of Assembly Language has long been the go-to guide for learning assembly language. In this long-awaited follow-up, Hyde presents a 64-bit rewrite of his seminal text. It not only covers the instruction set for today’s x86-64 class of processors in-depth (using MASM), but also leads you through the maze of assembly language programming and machine organization by showing you how to write code that mimics operations in high-level languages.Beginning with a “quick-start” chapter that gets you writing basic ASM applications as rapidly as possible, Hyde covers the fundamentals of machine organization, computer data representation and operations, and memory access. He’ll teach you assembly language programming, starting with basic data types and arithmetic, progressing through control structures and arithmetic to advanced topics like table lookups and string manipulation. In addition to the standard integer instruction set, the book covers the x87 FPU, single-instruction, multiple-data (SIMD) instructions, and MASM’s very powerful macro facilities. Throughout, you’ll benefit from a wide variety of ready-to-use library routines that simplify the programming process.

Название: Person Re-Identification with Limited Supervision
Автор: Rameswar Panda, Amit K Roy-Chowdhury
Издательство: Morgan & Claypool
Серия: Synthesis Lectures on Computer Vision
Год: 2021
Страниц: 100
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB

Person re-identification is a very fast-growing field of research. This book considers a specific aspect of this problem, i.e., how to learn re-identification models with limited supervision. This is related to research in Machine Learning (ML) on developing unsupervised to weakly supervised approaches, given the huge effort required in supervision. While the book tries to provide an overview of the work in this area, it does not claim to be an exhaustive review of every possible paper in a very fast-developing area of research. Rather, it focuses on a set of specific research directions in learning re-identification models with limited supervision. In order to highlight some of the research trends, the book identifies some specific topics of interest. These are chosen so as to lead the reader to increasingly complex ideas.