<p>As Artificial Intelligence becomes the next generation of software solutions in recent decades, Microsoft AI has been used for a while by providing Pre-Build AI and Custom AI. Microsoft AI now is a combination of different tools from cognitive service APIs that is a Pre-Build tools. This tool has been used in many different software development tools as well as has been embed in other Microsoft tools such as AI Builder in Power Apps and Power BI. Moreover, other platforms like Azure ML Studio and Azure Machine learning workspace that provide the opportunity to create the machine learning model easily for non-data scientists and data scientists.Microsoft AI MVP book is not like a normal book that you use to learn AI in. This book is a collective of articles from seventeen AI and Azure Microsoft MVPs. Each chapter focused on a very particular subject. The author of that chapter as the subject matter expert shared their opinion and experience and knowledge with the reader specifically. This book is not covering all aspects of Microsoft AI product and toolset, and it never intended to do so. For learning Microsoft AI from beginner level to advanced, you have to read multiple books, and there are many books in the market for it. Some of those books are already used as a reference in chapters of this book. Who is this book for - AI and ML Developers: If you are building AI and ML application, this book has great tips that can help you in building AI and ML application - Architects: If you are an architect and want to implement a strategy and governance for Microsoft AI usage in your organization, this book has tips and chapters for you. - Citizen Data Scientists: If you are not a data scientist but want to learn easy ways of using AI, this book has explained some tricks for you. - .NET Developers: If you are a programmer or developer, who wants to extend possibilities of using AI and embed that in your application, this book will show you methods for it. - Consultant and Expert: If you are already using AI and consider yourself as an expert in the field, this book will give you a great experience that other experts are sharing with you in their real-world scenarios. This can be a good reference book in your bookshelves to go back and read some of the best practices time by time. Who this book is not for - This is not a book to learn Microsoft AI from zero. There are beginner chapters, but there is no single story in the entire book to follow. - This is not a book that teaches you all about AI. There are many subjects that are not covered in this book, because of time constraints, and also the scope of things to learn in the world of Microsoft AI. This is not one book; learn it all. How the book is organized Each chapter is written on a specific subject by a different author. The book is organized in this way, that as a reader, you can choose any chapter without needing to read other chapters in advance, start from any chapter, and finish at any chapter you want.</p>

Microsoft AI MVP Book: A Practical Guide to Microsoft AI Written by 17 AI and Azure MVPs from All Around the World

Computers & Technology

Etaati, Leila

Rendón, David

Altaiar, Has

Natarajan, Anupama

Ghonaim, Ashraf

Vetter, Cameron

Castro, Eduardo

Andreev, Ivelin

Maguire, Jamie

Szeliga, Marcin

Computer Science

Independently published

<p><p><b>Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features</b></p> <h4>Key Features</h4> <ul> <li>Updated with the latest features and new additions to Microsoft Azure</li> <li>Master the fundamentals of cloud analytics using Azure</li> <li>Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights</li> </ul> <h4>Book Description</h4> <p>Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data</p> <p>The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse.</p> <p>Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts.</p> <p>By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization.</p> <h4>What you will learn</h4> <ul> <li>Explore the concepts of modern data warehouses and data pipelines</li> <li>Discover unique design considerations while applying a cloud analytics solution</li> <li>Design an end-to-end analytics pipeline on the cloud</li> <li>Differentiate between structured, semi-structured, and unstructured data</li> <li>Choose a cloud-based service for your data analytics solutions</li> <li>Use Azure services to ingest, store, and analyze data of any scale</li> </ul> <h4>Who this book is for</h4> <p>This book is designed to benefit software engineers, Azure developers, cloud consultants, and anyone who is keen to learn the process of deriving business insights from huge amounts of data using Azure.</p> <p>Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.</p></p>

Cloud Analytics with Microsoft Azure - Second Edition: Transform your business with the power of analytics in Azure

Lee, Jack

Peña, Michael John

Networking & Cloud Computing

Packt Publishing

<p><b>Leverage the power of Azure to get efficient data insights from your big data in real time</b></p> Key Features <ul>
<li>Explore the basics of cloud analytics using Azure </li> <li>Discover different ways to process and visualize your data easily </li> <li>Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights</li>
</ul> Book Description <p>With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. </p> <p>Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. </p> <p>By the end of this book, you'll have developed a solid understanding of data analytics with Azure and its practical implementation. </p> What you will learn <ul>
<li>Explore the concepts of modern data warehouses and data pipelines </li> <li>Discover different design considerations while applying a cloud analytics solution </li> <li>Design an end-to-end analytics pipeline on the cloud </li> <li>Differentiate between structured, semi-structured, and unstructured data </li> <li>Choose a cloud-based service for your data analytics solutions </li> <li>Use Azure services to ingest, store and analyze data of any scale</li>
</ul> Who this book is for <p>If you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.</p>Table of Contents <ol>
<li>Introducing Analytics on Azure</li> <li>Building your Modern Data Warehouse</li> <li>Processing and Visualizing Data</li> <li>Introducing Azure Synapse Analytics</li> <li>Business Use Cases</li> <li>Conclusion</li>
</ol>

Cloud Analytics with Microsoft Azure: Build modern data warehouses with the combined power of analytics and Azure

Peña, Michael

Databases & Big Data

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