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10 Machine Learning Blueprints You Should Know for Cybersecurity : Protect your systems and boost your defenses with cutting-edge AI techniques / Rajvardhan OAK / PACKT PUBLISHING (2023)
Titre : 10 Machine Learning Blueprints You Should Know for Cybersecurity : Protect your systems and boost your defenses with cutting-edge AI techniques Type de document : e-book Auteurs : Rajvardhan OAK Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781804619476 Note générale : copyrighted Langues : Anglais (eng) Résumé : Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrime Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space. The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python – by using open source datasets or instructing you to create your own. In one exercise, you’ll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you’ll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio. By the end of this book, you’ll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What you will learnUse GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is forThis book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you’re a beginner or an experienced professional, this book offers a unique and valuable learning experience that’ll help you develop the skills needed to protect your network and data against the ever-evolving threat landscape. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946452 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=579850 3D Printing with SketchUp : Use SketchUp to generate print-ready models and transform your project from concept to reality / Aaron DIETZEN AKA 'THE SKETCHUP GUY' / PACKT PUBLISHING (2023)
Titre : 3D Printing with SketchUp : Use SketchUp to generate print-ready models and transform your project from concept to reality Type de document : e-book Auteurs : Aaron DIETZEN AKA 'THE SKETCHUP GUY' Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781803237350 Note générale : copyrighted Langues : Anglais (eng) Résumé : Create stunning 3D print-ready models quickly and easily using any version of SketchUp Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesFind out how to use SketchUp Free, Go, or Pro to create print-ready modelsWork through clearly illustrated examples to learn just how to design for 3D printingModel multiple pieces that can be assembled post-printBook DescriptionWorking with the amazing 3D printing technology and getting access to the printing hardware is now easier than ever before. While there are many other resources that cover the general process of 3D printing, this book is the ultimate guide to creating models for 3D printing using SketchUp. You’ll start with a basic understanding of how SketchUp is used in the 3D printing workflow and jump into the steps to create a print-ready model using only SketchUp. This 3D printing book will guide you in using SketchUp to modify existing 3D files and cover additional tools that make SketchUp an even more powerful modeling tool. As you advance, you’ll learn how to transform 2D images into 3D printable solids, how to create multi-part prints that can be assembled without the use of fasteners or glue, and how to make sure your model, whether designed from scratch or assembled from preexisting geometry, is ready to be made real via your 3D printer. By the end of this book, you’ll have the confidence to bring your design ideas to life by generating your own 3D print-ready models with SketchUp.What you will learnUnderstand SketchUp’s role in the 3D printing workflowGenerate print-ready geometry using SketchUpImport existing files for editing in SketchUpVerify whether a model is ready to be printed or notModel from a reference object and use native editing toolsExplore the options available for adding onto SketchUp for the purpose of 3D printing (extensions)Understand the steps to export a file from SketchUpWho this book is forIf you own or have access to a 3D printer and are tired of downloading and printing other people's 3D models, this book is for you! Learn how to use SketchUp to create your own custom pieces or modify existing files so you can print exactly what you need. Whether you are an architect hoping to print buildings, a designer needing quick physical prototypes, or a hobbyist wanting to print a tchotchke, this book is for you. Readers should have completed some training in fundamentals in SketchUp and be able to create and edit basic geometry. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946137 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=579236 50 Algorithms Every Programmer Should Know : An unbeatable arsenal of algorithmic solutions for real-world problems / Imran AHMAD / PACKT PUBLISHING (2023)
Titre : 50 Algorithms Every Programmer Should Know : An unbeatable arsenal of algorithmic solutions for real-world problems Type de document : e-book Auteurs : Imran AHMAD Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781803247762 Note générale : copyrighted Langues : Anglais (eng) Résumé : Solve classic computer science problems from fundamental algorithms, such as sorting and searching, to modern algorithms in machine learning and cryptographyKey FeaturesDiscussion on Advanced Deep Learning ArchitecturesNew chapters on sequential models explaining modern deep learning techniques, like LSTMs, GRUs, and RNNs and Large Language Models (LLMs)Explore newer topics, such as how to handle hidden bias in data and the explainability of the algorithmsGet to grips with different programming algorithms and choose the right data structures for their optimal implementationBook DescriptionThe ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.What you will learnDesign algorithms for solving complex problemsBecome familiar with neural networks and deep learning techniquesExplore existing data structures and algorithms found in Python librariesImplement graph algorithms for fraud detection using network analysisDelve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examplesCreate a recommendation engine that suggests relevant movies to subscribersGrasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMsWho this book is forThis computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Python programming experience is a must, knowledge of data science will be helpful but not necessary. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88947071 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581152 50 Kubernetes Concepts Every DevOps Engineer Should Know : Your go-to guide for making production-level decisions on how and why to implement Kubernetes / Michael LEVAN / PACKT PUBLISHING (2023)
Titre : 50 Kubernetes Concepts Every DevOps Engineer Should Know : Your go-to guide for making production-level decisions on how and why to implement Kubernetes Type de document : e-book Auteurs : Michael LEVAN Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781804611470 Note générale : copyrighted Langues : Anglais (eng) Résumé : A must-have Kubernetes book to learn key concepts for succeeding in any production environment, be it a greenfield Kubernetes environment or your cloud-native journeyKey FeaturesAdvance in your Kubernetes journey with guidance from a seasoned k8s practitioner and trainerDiscover best practices for implementing Kubernetes in any production environmentGo beyond the basics and work with Kubernetes applications in every environmentBook DescriptionKubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive.This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You'll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you'll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you'll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge.By the end of this book, you'll be able to implement Kubernetes in any environment, whether it's an existing environment, a greenfield environment, or your very own lab running in the cloud or your home.What you will learnFind out how Kubernetes works on-premises, in the cloud, and in PaaS environmentsWork with networking, cluster management, and application deploymentUnderstand why cloud native is crucial for Kubernetes applicationsDeploy apps in different states, including Stateless and StatefulMonitor and implement observability in your environmentExplore the functioning of Kubernetes security at the cluster, user, and application levelWho this book is forThis book is for cloud engineers, developers, DevOps engineers, and infrastructure engineers responsible for inheriting a Kubernetes environment or creating a greenfield Kubernetes environment. If you are a professional who wants to get started with cloud-native applications and implement k8s best practices, then this book is a must-read. If you have engineered environments in the cloud and on-premises and understand how to deploy applications with a solid tenure in a developer role, this book will help you further your skills. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88940235 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=567928 Achieving Digital Transformation Using Hybrid Cloud : Design standardized next-generation applications for any infrastructure / Vikas GROVER / PACKT PUBLISHING (2023)
Titre : Achieving Digital Transformation Using Hybrid Cloud : Design standardized next-generation applications for any infrastructure Type de document : e-book Auteurs : Vikas GROVER Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781837633692 Note générale : copyrighted Langues : Anglais (eng) Résumé : Accelerate your career growth by building dynamic applications that function across all environments and cloud types Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn hybrid cloud architecture from experienced cloud and telco architectsAdapt and deploy emerging technologies like AI and ML in a standardized and secure mannerMaster communication between Kubernetes clusters and managementBook DescriptionHybrid cloud technology can be leveraged by organizations aiming to build next-gen applications while safeguarding prior technological investments. This book will help you explore different hybrid cloud architectural patterns, whether designing new projects or migrating legacy applications to the cloud. You'll learn about the key building blocks of hybrid cloud enabling you to deploy, manage, and secure applications and data while porting the workloads between environments without rebuilding. Further, you’ll explore Kubernetes, GitOps, and Layer 3/7 services to reduce operational complexity. You'll also learn about nuances of security and compliance in hybrid cloud followed by the economics of hybrid cloud. You’ll gain a deep understanding of the concepts with use cases from telecom 5G and industrial manufacturing, giving you a glimpse into real industry problems resolved by hybrid cloud, and unlocking millions of dollars of opportunities for enterprises. By the end of this book, you'll be well-equipped to design and develop efficient hybrid cloud strategies, lead conversations with senior IT and business executives, and succeed in hybrid cloud implementation or transformation opportunities.What you will learnDesign and build a foundation for hybrid cloud platformLeverage Kubernetes, containers, and GitOps for hybrid cloudUse architectural pattern blueprints to deliver applications on hybrid cloudEnable communication between applications hosted on different cloudsRollout zero-touch provisioning and monitoring in a hybrid architectureEnhance stability and scale up or down without rebuilding appsUnderstand principles of hybrid cloud security for application stackDesign cost-optimized systems based on the economics of hybrid cloudWho this book is forThis book is for cloud architects, developers, and DevOps engineers, responsible for delivering modern applications and deploying resources anywhere. Professionals aspiring to implement distributed and cloud solutions will also benefit from reading this book. Basic understanding of VM, containers, CI/CD and familiarity with public cloud and edge is a must. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946752 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581124 Adobe Acrobat Ninja : A productivity guide with tips and proven techniques for business professionals using Adobe Acrobat / Urszula WITHERELL / PACKT PUBLISHING (2023)PermalinkAdvanced Network Simulations Simplified : Practical guide for wired, Wi-Fi (802.11n/ac/ax), and LTE networks using ns-3 / Dr Anil Kumar RANGISETTI / PACKT PUBLISHING (2023)PermalinkAI and Business Rule Engines for Excel Power Users : Capture and scale your business knowledge into the cloud – with Microsoft 365, Decision Models, and AI tools from IBM and Red Hat / Paul BROWNE / PACKT PUBLISHING (2023)PermalinkPermalinkPermalinkAnimating SwiftUI Applications : Create visually stunning and engaging animations for iOS with SwiftUI / Stephen DESTEFANO / PACKT PUBLISHING (2023)PermalinkAPI Analytics for Product Managers : Understand key API metrics that can help you grow your business / Deepa GOYAL / PACKT PUBLISHING (2023)PermalinkApplied Geospatial Data Science with Python : Leverage geospatial data analysis and modeling to find unique solutions to environmental problems / David S. JORDAN / PACKT PUBLISHING (2023)PermalinkArchitecting Cloud-Native Serverless Solutions : Design, build, and operate serverless solutions on cloud and open source platforms / Safeer CM / PACKT PUBLISHING (2023)PermalinkArchitecting Vue.js 3 Enterprise-Ready Web Applications : Build and deliver scalable and high-performance, enterprise-ready applications with Vue and JavaScript / Solomon ESEME / PACKT PUBLISHING (2023)PermalinkArchitectural Patterns and Techniques for Developing IoT Solutions : Build IoT applications using digital twins, gateways, rule engines, AI/ML integration, and related patterns / Jasbir Singh DHALIWAL / PACKT PUBLISHING (2023)PermalinkArchitecture and Design of the Linux Storage Stack : Gain a deep understanding of the Linux storage landscape and its well-coordinated layers / Muhammad UMER / PACKT PUBLISHING (2023)PermalinkAutodesk Civil 3D 2024 from Start to Finish : A practical guide to civil infrastructure design, modeling, and analysis / Stephen WALZ / PACKT PUBLISHING (2023)PermalinkAutomate It with Zapier and Generative AI : Harness the power of no-code workflow automation and AI with Zapier to increase business productivity / Kelly GOSS / PACKT PUBLISHING (2023)PermalinkAutomating DevOps with GitLab CI/CD Pipelines : Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples / Christopher COWELL / PACKT PUBLISHING (2023)PermalinkAutomotive Cybersecurity Engineering Handbook : The automotive engineer's roadmap to cyber-resilient vehicles / Dr. Ahmad Mk NASSER / PACKT PUBLISHING (2023)PermalinkAWS CDK in Practice : Unleash the power of ordinary coding and streamline complex cloud applications on AWS / Mark AVDI / PACKT PUBLISHING (2023)PermalinkAWS Cloud Computing Concepts and Tech Analogies : A guide to understand AWS services using easy-to-follow analogies from real life / Ashish PRAJAPATI / PACKT PUBLISHING (2023)PermalinkAWS DevOps Simplified : Build a solid foundation in AWS to deliver enterprise-grade software solutions at scale / Akshay KAPOOR / PACKT PUBLISHING (2023)PermalinkAWS Observability Handbook : Monitor, trace, and alert your cloud applications with AWS’ myriad observability tools / Phani Kumar LINGAMALLU / PACKT PUBLISHING (2023)Permalink
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