All Indian Reprints of O'Reilly are Printed in Grayscale. Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work How effective productionization can make your ML systems easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to compensate accordingly How ML, product, and production teams can communicate effectively
Author 1Cathy Chen Author 2Nialll Richard Murphy
All Indian Reprints of O'Reilly are Printed in Grayscale. Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Compare Terraform with Chef, Puppet, Ansible, CloudFormation, Docker, and Packe  Deploy servers, load balancers, and databases• Create reusable infrastructure with Terraform modules Test your Terraform modules with static analysis, unit tests, and integration tests Configure CI/CD pipelines for both your apps and infrastructure code• Use advanced Terraform syntax for loops, conditionals, and zero-downtime deployment
AuthorYevgenly Brikman BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. For years, companies have rewarded their most effective engineers by suggesting they move to a management position. But treating management as the default (or only) path for an engineer with leadership ability doesn't serve the industry well. The staff engineer path allows you to contribute at a high level, with more free time to drive big projects, determine tech strategy, and raise everyone's skills. With this in-depth book, author Tanya Reilly shows you ways to master strategic thinking, manage difficult projects, and set the standard for technical work. You'll learn how to be a leader without direct authority, how to plan ahead so that you're making the right technical decisions, and how to make everyone around you better, all while still leaving you time to grow as an expert in your domain. In three parts, you'll explore the three pillars of an engineer's job: Big picture thinking: learn how to take a broad, strategic view when thinking about your work Project execution: dive into tactics and explore the practicalities of making projects succeed Being a positive influence: determine the standards for what "good engineering" means in your organization
AuthorTanya Reilly BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. Take advantage of your C# skills to build UI components and client-side experiences with .NET. With this practical guide, you'll learn how to use Blazor WebAssembly to develop next-generation web experiences. Built on top of ASP.NET Core, Blazor represents the future of .NET single-page applications (SPA) investments. Author David Pine, who focuses on .NET and Azure content development at Microsoft, explains how WebAssembly enables many non-JavaScript-based programming languages to run on the client browser. In this book, you'll learn about real-time web functionality with ASP.NET Core SignalR. You'll learn strategies for bidirectional JavaScript interop. David covers component data binding, hierarchical event-driven communications, in-memory state management, and local storage. This book shows you how to: Create a feature-rich Blazor app that looks beautiful Localize an enterprise-scale app as the sole developer using GitHub Actions and Azure Cognitive Services Translator service Create advanced validation scenarios for input-based components with forms Automatically deploy and host to Azure Static Web Apps, and rely on HTTP services Utilize geolocation service native to the browser, as well as native speech synthesis and recognition Author a custom modal verification mechanism for validating a user Determine the best approach for building reliable, architecturally sound websites
AuthorDavid Pine BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs
AuthorJeremey Arnold BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language. C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today's possibilities. Design is the most essential aspect of a software project because it impacts the software's most important properties: maintainability, changeability, and extensibility. Learn how to evaluate your code with respect to software design Understand what software design is, including design goals such as changeability and extensibility Explore the advantages and disadvantages of each design approach Learn how design patterns help solve problems and express intent Choose the right form of a design pattern to gain most of its advantages
AuthorKlaus Iglberger BindingPaperback
AuthorRera Easy BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. As enterprise-scale data science sharpens its focus on data-driven decision making and machine learning, new tools have emerged to help facilitate these processes. This practical ebook shows data scientists and enterprise developers how the notebook interface, Apache Spark, and other collaboration tools are particularly well suited to bridge the communication gap between their teams.
AuthorJerome Nilmeier. PhD BindingPaperback
All Indian Reprints of O'Reilly are Printed in Grayscale. If you want to make the most of the IoT for your business, but don't quite know where to start, then you've come to the right place. This short guide introduces you to the high-level concepts, components, and patterns for any type of IoT solution. Authors Joe Biron and Jonathan Follett take you through the technology and architecture, so that technologists like you can dispel misconceptions within your organization and assess the real opportunities for advancing your business with the IoT.
Author 1Joe Biron Author 2Jonathan Follett
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All Indian Reprints of O'Reilly are Printed in Grayscale. Is microservice architecture right for your organization? Microservices have many benefits, but they also come with their own set of drawbacks. With this updated edition, Java developers and architects will learn how to navigate popular application frameworks such Spring Boot and MicroProfile to deploy and manage microservices at scale with Linux containers. This hands-on, example-driven guide provides step-by-step instructions to help you get started. Adopting microservices requires much more than changes to your technology. Author Rafael Benevides, director of developer experience at Red Hat, also examines the organizational agility necessary to deliver these services. This concise ebook shows you how rapid feedback cycles, autonomous teams, and shared purpose are key to making microservices work. Learn why microservices require you to think differently about building, deploying, and operating cloud-native applications Design microservices using the popular Spring Boot and Eclipse MicroProfile frameworks Build an API gateway with Apache Camel to help clients access microservices Use Docker and Kubernetes to deploy microservices, regardless of language Run microservices at scale using cluster management, failover, and load-balancing techniques Use OpenTracing to monitor requests, response time, and the path of particular invocations
Author 1Rafael Benevides Author 2Christian Posta
All Indian Reprints of Maker Media are Printed in Grayscale. When Isaac Newton developed calculus in the 1600s, he was trying to tie together math and physics in an intuitive, geometrical way. But over time math and physics teaching became heavily weighted toward algebra, and less toward geometrical problem solving. However, many practicing mathematicians and physicists will get their intuition geometrically first and do the algebra later.
Author 1Joan Horvath Author 2Rich Cameron
All Indian Reprints of O'Reilly are Printed in Grayscale. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis
AuthorMike X Cohen BindingPaperback
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