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Podcasts
Amos Q. Haviv, Thoriq Firdaus, Joshua Johanan, Talha Khan, ...
This comprehensive reference guide takes you through each topic in web development and highlights the most popular and important elements of each area. Starting with HTML, you will learn key elements and attributes and how they relate to each other. Next, you will explore CSS pseudo-classes and pseudo-elements, followed by CSS properties and functions. This will introduce you to many powerful and new selectors. You will then move on to JavaScript. This section will not just introduce functions, but will provide you with an entire reference for the language and paradigms. You will discover more about three of the most popular frameworks today—Bootstrap, which builds on CSS, jQuery which builds on JavaScript, and AngularJS, which also builds on JavaScript. Finally, you will take a walk-through Node.js, which is a server-side framework that allows you to write programs in JavaScript.
Eren Kalelioglu, Evren Civelek
Implementing Atlassian Confluence is an all-encompassing guide to the essential concepts of distributed work and leveraging Confluence to create a world-class collaboration environment.This book begins with an introduction to enterprise collaboration concepts and explains how to set up Confluence. You’ll quickly proceed to creating and maintaining dynamic content, effective cross-functional collaboration, and employing Confluence applications in scenarios such as software project management and knowledge bases.You’ll discover how to use Jira Service Management together with Confluence, set up personal spaces, implement centralized user management, address security risks, and explore suggested solutions on Confluence. Furthermore, you’ll integrate and extend Confluence with other Atlassian and third-party software. The book also contains tips and guidance on managing Confluence adoption, enabling you to focus on your team and provide them with a state-of-the-art remote collaboration environment.Complete with practical business scenarios, best practices, and examples, this book will help you gain a comprehensive understanding of Atlassian Confluence’s capabilities for enhancing collaboration within cross-functional teams.
Ashish Kumar, Shashank Kumar, Abbas Kudrati, Sarah Armstrong- Smith
With the rapid pace of digital change today, especially since the pandemic sped up digital transformation and technologies, it has become more important than ever to be aware of the unknown risks and the landscape of digital threats. This book highlights various risks and shows how business-as-usual operations carried out by unaware or targeted workers can lead your organization to a regulatory or business risk, which can impact your organization’s reputation and balance sheet.This book is your guide to identifying the topmost risks relevant to your business with a clear roadmap of when to start the risk mitigation process and what your next steps should be. With a focus on the new and emerging risks that remote-working companies are experiencing across diverse industries, you’ll learn how to manage risks by taking advantage of zero trust network architecture and the steps to be taken when smart devices are compromised. Toward the end, you’ll explore various types of AI-powered machines and be ready to make your business future-proof.In a nutshell, this book will direct you on how to identify and mitigate risks that the ever- advancing digital technology has unleashed.
Bahaaldine Azarmi, Jeff Vestal, Shay Banon
While natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities.The book, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER's capabilities, and RRF's refined search mechanism.By the end of this NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.
Dr. Chase Cunningham, Gregory J. Touhill
The era of cyber warfare is now upon us. What we do now and how we determine what we will do in the future is the difference between whether our businesses live or die and whether our digital self survives the digital battlefield. Cyber Warfare – Truth, Tactics, and Strategies takes you on a journey through the myriad of cyber attacks and threats that are present in a world powered by AI, big data, autonomous vehicles, drones video, and social media.Dr. Chase Cunningham uses his military background to provide you with a unique perspective on cyber security and warfare. Moving away from a reactive stance to one that is forward-looking, he aims to prepare people and organizations to better defend themselves in a world where there are no borders or perimeters. He demonstrates how the cyber landscape is growing infinitely more complex and is continuously evolving at the speed of light.The book not only covers cyber warfare, but it also looks at the political, cultural, and geographical influences that pertain to these attack methods and helps you understand the motivation and impacts that are likely in each scenario.Cyber Warfare – Truth, Tactics, and Strategies is as real-life and up-to-date as cyber can possibly be, with examples of actual attacks and defense techniques, tools. and strategies presented for you to learn how to think about defending your own systems and data.
If you need stable, dynamically developed, and easy-to-configure instrumentation for application development, look no further than MinGW. It supplies all the dynamic tools you need to enable you to develop Microsoft Windows applications, while allowing for easy integration with the software that you already use. This book will give you the expert guidance you will need to start developing applications with Instant MinGW. As well as help you to become an experienced user of MinGW, the book will also detail some of the more common pitfalls that beginners face when first using the software, and more importantly, how to avoid them yourself. This book will help you through the installation process, and help introduce you to compilation, debugging, and profiling with MinGW. It will guide you in importing existing projects developed with Visual C++ Integrated Development Environment to MinGW, and show you how to start using it to develop your current projects with minimal effort.This book will also introduce you to developing applications with several well-known, open source, GUI libraries and the MinGW software.With Instant MinGW Starter, you will gain a reliable, comprehensive, and supremely beneficial introduction to the MinGW software, and quickly learn how to use it for new, and old, projects.
Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases
Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, ...
The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.