This Power BI MVP book is not like a normal book used to learn Power BI. This book is a selection of articles from 21 Power BI MVPs. Each chapter focuses on a particular subject. Topics covered include: AI, architecture, data modeling, data preparation, DAX, enterprise issues and Integration. The book is organized such that, as a reader, you may pick and choose any chapter in any order.This book is written by 21 Power BI MVPs from all around the world.

Power BI MVP Book: A book of tricks and techniques for working with Power BI

Computers & Technology

Allington, Matt

Rad, Reza

Maharjan, Anil

Bandari, Indira

Bastick, Liam

Puls, Ken

Gil, Jesús

LeBlanc, Thomas

Ellis, Ike

Etaati, Leila

Databases & Big Data

Independently published

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more. 
The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. What You'll Learn <ul>
<li>Choose the right Microsoft product for your machine learning solution</li>
<li>Create and manage Microsoft’s tool environments for development, testing, and production of a machine learning project</li>
<li>Implement and deploy supervised and unsupervised learning in Microsoft products</li> <li>Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning</li> <li>Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more</li> <li>Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharing 
</li>
</ul>
 Who This Book Is For Data scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.

Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

Computer Science

Apress

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.

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

Rendón, David

Altaiar, Has

Natarajan, Anupama

Ghonaim, Ashraf

Vetter, Cameron

Castro, Eduardo

Andreev, Ivelin

Maguire, Jamie

Szeliga, Marcin

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