书目名称 | Self-Service AI with Power BI Desktop |
副标题 | Machine Learning Ins |
编辑 | Markus Ehrenmueller-Jensen |
视频video | |
概述 | Promotes the use of AI features to step beyond classical business intelligence.Leaves you with valuable skills around predictive analytics and what-if scenarios.Targets newcomers and seasoned users wi |
图书封面 |  |
描述 | This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets..No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services andAzure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datase |
出版日期 | Book 2020 |
关键词 | Power BI; Power BI Desktop; Power Q&A; Quick Insights; Key Influencers; Decomposition Tree; What-If; Busine |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4842-6231-3 |
isbn_softcover | 978-1-4842-6230-6 |
isbn_ebook | 978-1-4842-6231-3 |
copyright | Markus Ehrenmueller-Jensen 2020 |