Informatyka

1345
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EBOOK

Feature Management with LaunchDarkly. Discover safe ways to make live changes in your systems and master testing in production

Michael Gillett

Over the past few years, DevOps has become the de facto approach for designing, building, and delivering software. Feature management is now extending the DevOps methodology to allow applications to change on demand and run experiments to validate the success of new features. If you want to make feature management happen, LaunchDarkly is the tool for you.This book explains how feature management is key to building modern software systems. Starting with the basics of LaunchDarkly and configuring simple feature flags to turn features on and off, you'll learn how simple functionality can be applied in more powerful ways with percentage-based rollouts, experimentation, and switches. You'll see how feature management can change the way teams work and how large projects, including migrations, are planned. Finally, you'll discover various uses of every part of the tool to gain mastery of LaunchDarkly. This includes tips and tricks for experimentation, identifying groups and segments of users, and investigating and debugging issues with specific users and feature flag evaluations.By the end of the book, you'll have gained a comprehensive understanding of LaunchDarkly, along with knowledge of the adoption of trunk-based development workflows and methods, multi-variant testing, and managing infrastructure changes and migrations.

1346
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EBOOK

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

Jayanth Kumar M J

Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.

1347
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EBOOK

Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks

Kiyoshi Nakayama, PhD , George Jeno

Federated learning (FL) is a paradigm-shifting technology in AI that enables and accelerates machine learning (ML), allowing you to work on private data. It has become a must-have solution for most enterprise industries, making it a critical part of your learning journey. This book helps you get to grips with the building blocks of FL and how the systems work and interact with each other using solid coding examples.FL is more than just aggregating collected ML models and bringing them back to the distributed agents. This book teaches you about all the essential basics of FL and shows you how to design distributed systems and learning mechanisms carefully so as to synchronize the dispersed learning processes and synthesize the locally trained ML models in a consistent manner. This way, you’ll be able to create a sustainable and resilient FL system that can constantly function in real-world operations. This book goes further than simply outlining FL's conceptual framework or theory, as is the case with the majority of research-related literature.By the end of this book, you’ll have an in-depth understanding of the FL system design and implementation basics and be able to create an FL system and applications that can be deployed to various local and cloud environments.

1348
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EBOOK

Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks

Kiyoshi Nakayama, PhD , George Jeno

Federated learning (FL) is a paradigm-shifting technology in AI that enables and accelerates machine learning (ML), allowing you to work on private data. It has become a must-have solution for most enterprise industries, making it a critical part of your learning journey. This book helps you get to grips with the building blocks of FL and how the systems work and interact with each other using solid coding examples.FL is more than just aggregating collected ML models and bringing them back to the distributed agents. This book teaches you about all the essential basics of FL and shows you how to design distributed systems and learning mechanisms carefully so as to synchronize the dispersed learning processes and synthesize the locally trained ML models in a consistent manner. This way, you’ll be able to create a sustainable and resilient FL system that can constantly function in real-world operations. This book goes further than simply outlining FL's conceptual framework or theory, as is the case with the majority of research-related literature.By the end of this book, you’ll have an in-depth understanding of the FL system design and implementation basics and be able to create an FL system and applications that can be deployed to various local and cloud environments.

1349
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EBOOK

Filmora Efficient Editing. Create high-quality videos for any discipline from scratch using chroma keys, split screens, and audio

Alexander Zacharias

Whether you want to create short films, YouTube videos, music videos, or videos for any social event, Filmora is a powerful, innovative, and user-friendly video editing software that you can use for all this and much more!Filmora Efficient Editing is a comprehensive introduction for those who are new to video editing as well as those looking to transition to Filmora. The book starts by helping you develop an understanding of video editing and Filmora’s interface and gradually takes you through adding sources and exporting your first project. Next, you’ll learn how to make your videos engaging and fun using audio, personalization, the split-screen function, and Chroma keys. You’ll understand how to plan as well as create your videos using Filmora from scratch. With simplified concepts, steps, and real-world editing examples, this book covers applications such as YouTube, animated intros, professional marketing videos, and industry-standard tips.By the end of this video editing book, you’ll have learned how to use Filmora's powerful tools and functionality to create high-quality and professional videos from scratch.

1350
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EBOOK

Final Cut Pro Efficient Editing. The ultimate guide to editing video with FCP 12 for faster, smarter workflows - Second Edition

Iain Anderson

Elevate your video editing skills with Final Cut Pro 12 using practical workflows, expert techniques, and the latest features to enhance your creative process and give your videos a stunning look.The second edition of this comprehensive guide covers exciting new features in FCP, teaching you how to streamline your workflow with customizable workspaces, shortcuts, and advanced trimming tools. Explore impactful titles and a comprehensive suite of visual effects in Final Cut Pro for dynamic videos, discover Final Cut Pro's audio tools to create a great-sounding mix, and utilize the magnetic timeline, multicam editing, and enhanced color correction for every project.Whether you're creating content for social media, YouTube, or Hollywood, Final Cut Pro Efficient Editing, Second Edition will help you take your video editing skills to the next level.

1351
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EBOOK

Final Cut Pro X Cookbook. Edit with style and ease using the latest editing technologies in Final Cut Pro X! with this book and

Jason Cox

As technology becomes more and more accessible and easier to use, we are expected to do more in less time than ever before. Video editors are now expected to be able not only to edit, but create motion graphics, fix sound issues, enhance image quality and color and more. Also, many workers in the PR and marketing world are finding they need to know how to get viral videos made from start to finish as quickly as possible. Final Cut Pro X was built as a one-stop shop with all the tools needed to produce a professional video from beginning to end.The Final Cut Pro X Cookbook contains recipes that will take you from the importing process and basic mechanics of editing up through many of FCPX's advanced tools needed by top-tier editors on a daily basis. Edit quickly and efficiently, fix image and sound problems with ease, and get your video out to your client or the world easily.No program gets you from application launch to the actual editing process faster than FCPX. After covering the basics, the book hits the ground running showing readers how to produce professional quality videos even if video editing isn't your day job.The recipes inside are packed with more than 300 images helping illustrate time-saving editing tools, problem-solving techniques and how to spice up your video with beautiful effects and titles. We also dive into audio editing, color correction and dabble in FCPX's sister programs Motion and Compressor!With more than 100 recipes, the Final Cut Pro X Cookbook is a great aid for the avid enthusiast up to the 40-hour-a-week professional. This book contains everything you need to make videos that captivate your audiences.

1352
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EBOOK

Financial Modeling Using Quantum Computing. Design and manage quantum machine learning solutions for financial analysis and decision making

Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe...

Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.

1353
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EBOOK

Finite Element Analysis. An Introductory Guide to FEM Techniques and Applications

Mercury Learning and Information, Sarhan M. Musa

This comprehensive guide explores the versatility and affordability of Finite Element Analysis (FEA) as a powerful tool for solving engineering problems. The book provides a practical introduction to FEA, covering applications in mechanical, civil, electrical engineering, and physics. It presents a balanced blend of theory and applications, catering to both beginners and those seeking to enhance their FEA skills.The journey begins with mathematical preliminaries and an introduction to the Finite Element Method. It progresses through various applications such as axially loaded members, trusses, beams, stress analysis, thermal analysis, fluid flow analysis, dynamic analysis, and engineering electromagnetics analysis. Each chapter includes comparisons of analytical methods, FEA hand calculations, and software-based solutions, helping readers understand the strengths and limitations of each approach.Understanding these concepts is crucial for effective problem-solving in engineering. This book transitions readers from fundamental principles to advanced engineering applications, blending theoretical knowledge with practical skills. Companion files with executable models and animations enhance the learning experience, making this guide an essential resource for mastering FEA techniques.