Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Faisal Masood, Ross Brigoli

MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization.You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow.By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built.

ChatGPT and AI for Accountants. A practitioner's guide to harnessing the power of GenAI to revolutionize your accounting practice

Dr. Scott Dell, Dr. Mfon Akpan

In the fast-paced AI world, accounting professionals are increasingly challenged by the complexities of AI. Many struggle to integrate these advanced tools into their workflows, leading to a sense of overwhelm. ChatGPT for Accounting bridges this gap by not only simplifying AI concepts but also offering practical insights for its application in various accounting domains.This book takes you from the foundational principles of Generative Artificial Intelligence (GAI) to its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond. Each chapter equips you with essential skills, showing you how AI can revolutionize internal control systems, enhance recruitment processes, streamline marketing plans, optimize tax strategies, and boost efficiency in audits. You’ll then advance to exploring the role of AI in forensic accounting, financial analysis, managerial accounting, and corporate governance, while also addressing ethical and security implications.Concluding with a reflective outlook on the promises and challenges of AI, you’ll gain a holistic view of the future of accounting. By the end of this book, you’ll be equipped with the knowledge to harness the power of AI effectively and ethically, transforming your accounting practice and staying ahead in the ever-evolving landscape.

Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios

Surendra Mohan, Yuvraj Gupta, Tim Roes

Shading, Lighting, and Rendering with Blender EEVEE. Create amazing concept art 12 times faster using a real-time rendering engine

Sammie Crowder

Blender is the most important up-and-coming 3D software package in the world. EEVEE, a state-of-the-art real-time rendering engine is a fairly new addition to Blender and provides the capacity to create artwork at blazing speed, almost 12 times faster than Cycles.Lighting, Shading, and Rendering with Blender’s EEVEE provides a high-level overview of what EEVEE is capable of, then teaches users about Geometry Nodes, Rendering Techniques, using shortcuts like Kitbashing and Alphas to speed up scene creation, volumetrics, reflections, adding lights, cameras and even special effects like fire and smoke, all in EEVEE. All of this is in the context of creating actual scenes that readers will work through from start to finish. By the time a Blender Artist completes the book, they will have created three separate works that have challenged them to iterate and design with the full power of Blender’s EEVEE.

iOS 10 Programming for Beginners. Explore the latest iOS 10 and Swift 3 features

Craig Clayton

You want to build iOS applications for iPhone and iPad—but where do you start? Forget sifting through tutorials and blog posts, this is a direct route into iOS development, taking you through the basics and showing you how to put the principles into practice. With every update, iOS has become more and more developer-friendly, so take advantage of it and begin building applications that might just take the App Store by storm!Whether you’re an experienced programmer or a complete novice, this book guides you through every facet of iOS development. From Xcode and Swift—the building blocks of modern Apple development—and Playgrounds for beginners, one of the most popular features of the iOS development experience, you’ll quickly gain a solid foundation to begin venturing deeper into your development journey. For the experienced programmer, jump right in and learn the latest iOS 10 features.You’ll also learn the core elements of iOS design, from tables to tab bars, as well as more advanced topics such as gestures and animations that can give your app the edge. Find out how to manage databases, as well as integrating standard elements such as photos, GPS into your app. With further guidance on beta testing with TestFlight, you’ll quickly learn everything you need to get your project on the App Store!

Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need

Willi Richert, Luis Pedro Coelho

Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on.Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.

Enhancing Microsoft Content Management Server with ASP.NET 2.0. Use the powerful new features of ASP.NET 2.0 with your MCMS Websites

Lim Mei Ying, Spencer Harbar, Stefan Gossner

The release of Microsoft Content Management Server (MCMS) Service Pack 2 opens up the world of ASP.NET 2.0 to MCMS developers. Written by the masters of MCMS, this book shows you how to use the new features of ASP.NET 2.0 that everyone is talking about in your MCMS development.You will first learn how to install and configure MCMS SP2. There are two approaches to setting up a development environment for SP2: an upgrade from a previous SP1a installation or starting from scratch and building a fresh installation including SP2. Of course, both approaches are covered.You will become familiar with the MCMS Service Pack 2 development environment, and create custom Visual Studio 2005 templates to overcome some of the issues which are present with the templates shipped with MCMS SP2.After that, its time to look at some of the most exciting features of ASP.NET 2.0, and how you can make use of them in MCMS: master pages, site navigation, themes, and the membership provider model.One of the coolest features introduced with ASP.NET 2.0 is master pages, which allow developers to enforce common layout and behaviour across pages within an application. You will learn about the benefits of using master pages and see a step-by-step guide for implementing them in your MCMS applications, where they become master templates!ASP.NET 2.0 introduces a whole new way of implementing site navigation, driven by site maps. By programmatically adding channels and postings to a site map you will see how to smoothly integrate these controls to any MCMS site.To customize the look of your site, we will see how a common look and feel can be applied efficiently to a MCMS site by using ASP.NET 2.0 themes. An essential customization required for themes to work correctly in an MCMS site is a must-read feature of this chapter.MCMS has its own role based authorization and user management system which cannot be extended. However, the new ASP.NET 2.0 Membership Provider Model and the shipped controls can be used within MCMS applications to improve the implementation of Forms Authentication and provide a more elegant solution for authenticating against an external store.A collection of tips and tricks round off the book, including using the Provider Model design pattern to ease migration to Office SharePoint Portal Server

AWS for Solutions Architects. The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud - Second Edition

Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed, ...

Are you excited to harness the power of AWS and unlock endless possibilities for your business? Look no further than the second edition of AWS for Solutions Architects! Imagine crafting cloud solutions that are secure, scalable, and optimized – not just good, but industry-leading.This updated guide throws open the doors to the AWS Well-Architected Framework, design pillars, and cloud-native design patterns empowering you to craft secure, performant, and cost-effective cloud architectures. Tame the complexities of networking, conquering edge deployments and crafting seamless hybrid cloud connections. Uncover the secrets of big data and streaming with EMR, Glue, Kinesis, and MSK, extracting valuable insights from data at speeds you never thought possible. Future-proof your cloud with game-changing insights! New chapters unveil CloudOps, machine learning, IoT, and blockchain, empowering you to build transformative solutions. Plus, unlock the secrets of storage mastery, container excellence, and data lake patterns. From simple configurations to sophisticated architectures, this guide equips you with the knowledge to solve any cloud challenge and impress even the most demanding clients.This book is your one-stop shop for architecting industry-standard AWS solutions. Stop settling for average – dive in and build like a pro!