Wydawca: Packt Publishing
Cuantum Technologies LLC
Feature engineering is essential for building robust predictive models. This book delves into practical techniques for transforming raw data into powerful features using Scikit-Learn. You'll explore automation, deep learning integrations, and advanced topics like feature selection and model evaluation. Learn to handle real-world data challenges, enhance accuracy, and streamline your workflows.Through hands-on projects, readers will gain practical experience with techniques such as clustering, pipelines, and feature selection, applied to domains like retail and healthcare. Step-by-step instructions ensure a comprehensive learning journey, from foundational concepts to advanced automation and hybrid modeling approaches.By combining theory with real-world applications, the book equips data professionals with the tools to unlock the full potential of machine learning models. Whether working with structured datasets or integrating deep learning features, this guide provides actionable insights to tackle any data transformation challenge effectively.
Sinan Ozdemir, Divya Susarla, Michael Smith
Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.You will start with understanding your data—often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more, You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You'll also learn how to use machine learning on your machines, automatically learning amazing features for your data.By the end of the book, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization.
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.
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.
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.
Fedora Linux System Administration. Install, manage, and secure your Fedora Linux environments
Alex Callejas
Fedora Linux is a free and open-source platform designed for hardware, clouds, and containers that enables software developers and community members to create custom solutions for their customers. This book is a comprehensive guide focusing on workstation configuration for the modern system administrator.The book begins by introducing you to the philosophy underlying the open-source movement, along with the unique attributes of the Fedora Project that set it apart from other Linux distributions. The chapters outline best practices and strategies for essential system administration tasks, including operating system installation, first-boot configuration, storage, and network setup. As you make progress, you’ll get to grips with the selection and usage of top applications and tools in the tech environment. The concluding chapters help you get a clear understanding of the basics of version control systems, enhanced Linux security, automation, virtualization, and containers, which are integral to modern system administration.By the end of this book, you’ll have gained the knowledge needed to optimize day-to-day tasks related to Linux-based system administration.
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.
Mike Eddy, Steve Martin
Supercharge your Final Cut Pro game with this recipe-packed guide designed for driven video professionals and ambitious editors. The author distills his 30+ years of experience spanning top brands, big screens, and award-winning classrooms in this book to equip you with expert techniques for streamlining editing, boosting performance, and producing polished, professional-grade videos. Each recipe includes clear explanations and examples, making complex concepts accessible and actionable.The book begins by guiding you through the Final Cut Pro interface and essential tools, providing a solid foundation for more advanced topics. From there, you’ll work through practical projects covering scratch audio, blend modes, and title object trackers. You’ll learn how to optimize workflows, manage media, and utilize time-saving keyboard shortcuts to boost productivity. The chapters also help you explore comprehensive techniques for color correction, visual effects, and exporting closed captions, ensuring your videos are polished and professional.By the end of this book, you’ll be able to confidently tackle complex projects, streamline your workflow, and produce stunning content. Whether you’re a new producer or a seasoned editor, this cookbook delivers the insights you need to refine your craft.