Self-Service AI with Power Bi Desktop: Machine Learning Insights for Business

Ehrenmueller-Jensen, Markus

  • 出版商: Apress
  • 出版日期: 2020-09-13
  • 售價: $1,950
  • 貴賓價: 9.5$1,853
  • 語言: 英文
  • 頁數: 344
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484262301
  • ISBN-13: 9781484262306
  • 相關分類: Power BI人工智慧Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

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 and Azure 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 datasets, and building what-if scenarios.
There's much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features.
What You Will Learn

  • Ask questions in natural language and get answers from your data
  • Let Power BI explain why a certain data point differs from the rest
  • Have Power BI show key influencers over categories of data
  • Access artificial intelligence features available in the Azure cloud
  • Walk the same drill down path in different parts of your hierarchy
  • Load visualizations to add smartness to your reports
  • Simulate changes in data and immediately see the consequences
  • Know your data, even before you build your first report
  • Create new columns by giving examples of the data that you need
  • Transform and visualize your data with the help of R and Python scripts


Who This Book Is For
For the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis.

商品描述(中文翻譯)

本書解釋了如何通過使用內建於Power BI Desktop的一套人工智能(AI)功能,豐富已載入Power BI Desktop的數據。這些AI功能能夠幫助您從現有數據中獲得新的洞察力。其中一些功能是自動化的,只需點擊按鈕或使用數據分析表達式(DAX)即可使用。其他功能則需要使用R、Python或M語言編寫代碼。本書通過清晰的示例向您展示了整套AI功能,並指導您在何時以及如何在自己的數據集上應用它們。

無論您是業務用戶、分析師還是數據科學家,Power BI都提供了針對您的AI功能。本書幫助您了解Power BI能夠自動提供哪些類型的洞察力。您將學習如何集成和利用R和Python語言進行統計分析,如何在加載數據時與認知服務和Azure機器學習服務進行集成,如何通過以純英語提問的方式探索數據等等。本書還介紹了用於發現數據、描述未開發數據集和構建假設情景的AI功能。

無論您是Power BI的新手還是經驗豐富的用戶,本書都有很多值得喜歡和學習的內容。Power BI Desktop是一個免費的可視化和分析工具。本書通過利用一些最新和最先進的功能,幫助您充分利用該工具。

您將學到什麼

- 以自然語言提問並從數據中獲得答案
- 讓Power BI解釋為什麼某個數據點與其他數據不同
- 讓Power BI顯示對數據類別的關鍵影響因素
- 訪問Azure雲中提供的人工智能功能
- 在層次結構的不同部分中走相同的下探路徑
- 加載可視化圖表以為您的報告增加智能
- 模擬數據變化並立即看到結果
- 在構建第一個報告之前就了解您的數據
- 通過提供所需數據的示例來創建新列
- 使用R和Python腳本進行數據轉換和可視化

本書適合對象

本書適合熱衷於將最先進的人工智能(AI)功能應用於現有數據以獲得新洞察力的Power BI用戶。適合終端用戶和IT專業人員,他們不介意進入機器學習的新世界,並準備深入研究自己的數據。適合那些希望從簡單的報告和可視化升級到診斷和預測分析的人。

作者簡介

Markus Ehrenmueller-Jensen is a data professional who started his career as a consultant for Business Intelligence solutions on an IBM AS/400 system before he was introduced into the world of Microsoft's Data Platform in 2006. He has since built Data Warehouses and Business Intelligence solutions for a wide variety of clients. His portfolio includes training and workshops, architectural designs, and the development of data-oriented solutions. In 2018 he founded Savory Data, an independent consultancy company.
Markus is certified as a Microsoft Certified Solution Expert (MCSE) for Data Platform and Business Intelligence, and as a Microsoft Certified Trainer (MCT). He teaches databases, information management, and project management at HTL Leonding, Austria. He co-founded both PASS Austria and PUG Austria and co-organizes the yearly SQL Saturday in Vienna. He has been a Microsoft Most Valuable Professional (MVP) each year since 2017.

作者簡介(中文翻譯)

Markus Ehrenmueller-Jensen是一位資料專業人士,他在2006年開始他的職業生涯時是一位IBM AS/400系統的商業智能解決方案顧問,後來進入了微軟數據平台的世界。他曾為各種客戶建立數據倉庫和商業智能解決方案。他的作品集包括培訓和研討會、架構設計和數據導向解決方案的開發。在2018年,他創辦了獨立的顧問公司Savory Data。

Markus擁有微軟認證的資料平台和商業智能解決方案的微軟認證解決方案專家(MCSE)和微軟認證培訓師(MCT)資格。他在奧地利的HTL Leonding教授數據庫、信息管理和項目管理。他共同創辦了PASS Austria和PUG Austria,並共同組織了每年在維也納舉辦的SQL Saturday活動。自2017年以來,他每年都是微軟最有價值專家(MVP)。