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Podcasty
With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you’ll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.
In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field.As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance.This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios.
Red Hat Enterprise Linux is an operating system that allows you to modernize your infrastructure, boost efficiency through virtualization, and finally prepare your data center for an open, hybrid cloud IT architecture. It provides the stability to take on today's challenges and the flexibility to adapt to tomorrow's demands.In this book, you begin with simple troubleshooting best practices and get an overview of the Linux commands used for troubleshooting. The book will cover the troubleshooting methods for web applications and services such as Apache and MySQL. Then, you will learn to identify system performance bottlenecks and troubleshoot network issues; all while learning about vital troubleshooting steps such as understanding the problem statement, establishing a hypothesis, and understanding trial, error, and documentation. Next, the book will show you how to capture and analyze network traffic, use advanced system troubleshooting tools such as strace, tcpdump & dmesg, and discover common issues with system defaults.Finally, the book will take you through a detailed root cause analysis of an unexpected reboot where you will learnto recover a downed system.
Functional programming is a paradigm for developing software with better performance. It helps you write concise and testable code. To help you take your programming skills to the next level, this comprehensive book will assist you in harnessing the capabilities of functional programming with JavaScript and writing highly maintainable and testable web and server apps using functional JavaScript.This second edition is updated and improved to cover features such as transducers, lenses, prisms and various other concepts to help you write efficient programs. By focusing on functional programming, you’ll not only start to write but also to test pure functions, and reduce side effects. The book also specifically allows you to discover techniques for simplifying code and applying recursion for loopless coding. Gradually, you’ll understand how to achieve immutability, implement design patterns, and work with data types for your application, before going on to learn functional reactive programming to handle complex events in your app. Finally, the book will take you through the design patterns that are relevant to functional programming.By the end of this book, you’ll have developed your JavaScript skills and have gained knowledge of the essential functional programming techniques to program effectively.
Pentaho PDI is a modern, powerful, and easy-to-use ETL system that lets you develop ETL processes with simplicity. Explore and gain the experience and skills that you need to run processes from the command line or schedule them by using an extensive description and a good set of samples.Instant Pentaho Data Integration Kitchen How-to will help you to understand the correct way to deal with PDI command line tools. We start with a recipe about how to configure your memory requirements to run your processes effectively and then move forward with a set of recipes that show you the different ways to start PDI processes.We start with a recap about how transformations and jobs are designed using spoon and then move forward to configure memory requirements to properly run your processes from the command line.We dive into the various flags that control the logging system by specifying the logging output and the log verbosity. We focus and deliver all the knowledge you require to run the ETL processes using command line tools with ease and in a proficient manner.
Multimedia is a very old human endeavor. It has taken mankind almost 30,000 years since painting on cave walls to get a combination of text, image, sound, and video all working in the same medium, that is, in motion pictures. Finally, after thousands of years of human history, we can all (not just an elite few) create multimedia easily using Moodle. Moodle was built around an idea of learning that happens when a group of people construct things for one another, collaboratively creating a small culture of shared artifacts with shared meanings.A tutorial-based guide, with clear illustrations and examples of how to create, convert and add multimedia to Moodle using a range of free e-learning software tools and web applications. This book follows the design of resources and activities for the course “Music for everyday life”. The tasks presented are quick and easy to do for teachers and trainers with busy schedules.Giving readers an insight into the creation and integration of multimedia in Moodle courses.Starting with images you will learn to create photo collages, screenshots and comic strips. Then you will discover audio and how to extract audio from CDs to create a soundtrack for a movie and a podcast. Later, you will use video to produce a trailer for a movie, photo slideshows, online TVs and screencasts. Following that, you will develop an understanding of interactive elements and web communication, such as online maps, interactive timelines or web meetings. Finally, you will look at multimedia quizzes and assessment of multimedia assignments, ending with general issues on copyright, licensing and safety.A focus of the book is to show readers that using multimedia is not just about improving instruction, but also improving the ways in which students can can now create multimedia easily, and share it without great effort.. To make this easier, many of the moodle tutorials in the book will be based on activities designed for students to create, discuss and assess each other's multimedia works.
.NET has included managed threading capabilities since the beginning, but early techniques had inherent risks: memory leaks, thread synchronization issues, and deadlocks. This book will help you avoid those pitfalls and leverage the modern constructs available in .NET 6 and C# 10, while providing recommendations on patterns and best practices for parallelism and concurrency. Parallel, concurrent, and asynchronous programming are part of every .NET application today, and it becomes imperative for modern developers to understand how to effectively use these techniques.This book will teach intermediate-level .NET developers how to make their applications faster and more responsive with parallel programming and concurrency in .NET and C# with practical examples. The book starts with the essentials of multi-threaded .NET development and explores how the language and framework constructs have evolved along with .NET. You will later get to grips with the different options available today in .NET 6, followed by insights into best practices, debugging, and unit testing.By the end of this book, you will have a deep understanding of why, when, and how to employ parallelism and concurrency in any .NET application.