Artificial Intelligence with Microsoft Power BI: Simpler AI for the EnterpriseКНИГИ » ПРОГРАММИНГ
Название: Artificial Intelligence with Microsoft Power BI: Simpler AI for the Enterprise Автор: Jennifer Stirrup, Thomas J. Weinandy Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 473 Язык: английский Формат: pdf (true) Размер: 41.7 MB
Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.
Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.
Automated Machine Learning (AutoML) in Power BI: Power BI invokes AutoML to create, train, and call machine learning models. You can consider this facility a low-code/no-code technology, meaning you don’t have to worry about being an experienced data scientist to use it. Instead, you are more concerned with using the resulting model to make valuable predictions while also taking care to validate the model’s accuracy. AutoML supports binary prediction, general classification, and regression models, and you can use these model types in Power BI. However, it can sometimes be hard for people to get started with their data. This option allows a data analyst to prototype functionality in Power BI in preparation for further, more advanced work by a data scientist.
• Use Power BI to build a good data model for AI • Demystify the AI terminology that you need to know • Identify AI project roles, responsibilities, and teams for AI • Use AI models, including supervised machine learning techniques • Develop and train models in Azure ML for consumption in Power BI • Improve your business AI maturity level with Power BI • Use the AI feedback loop to help you get started with the next project
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Artificial Intelligence with Microsoft Power BI: Simpler AI for the Enterprise 
