了解如何创建自己的人工智能模型，并在Power BI报告中使用它，以便从数据中获得更好的洞察力
主要特征
了解如何通过在Power BI中应用不同的人工智能技术，从数据中获得更好的洞察力
通过独立创建机器学习模型并将其集成到BI报告中来节省时间
了解如何将认知服务和Azure机器学习与Power BI结合起来
书名
Power BI中的人工智能（AI）功能使企业能够快速、轻松地从非结构化和结构化数据中获得更智能的见解。
这本书将教你如何利用当今Power BI中的许多AI功能，快速、轻松地丰富你的数据，更好地洞察数据中的模式。
首先，您将了解人工智能的好处，以及如何将其用于Power BI。接下来，你将专注于探索和准备用于构建人工智能项目的数据，然后逐步使用Power BI中已有的突出人工智能功能，如预测、异常检测和问答。后面的章节将向你展示如何在Power BI报告中应用文本分析和计算机视觉。这将帮助您在Power BI中创建自己的问答功能，允许您从其他知识库中询问常见问题，然后将其与PowerApp集成。在最后几章中，您将能够创建和部署在Azure ML中培训的AutoML模型，并在Power Query Editor中使用它们。在你的模型经过培训后，你将通过隐私、公平和透明等原则负责任地使用人工智能。
在本书的最后，您将了解何时以及如何使用Power BI中现成的人工智能功能，用人工智能丰富您的数据。
你将学到什么
应用技术来减少偏见并处理数据中的异常值
为电力BI中的预测准备时间序列数据
为异常检测准备和塑造数据
在Power Query Editor中使用文本分析
将QnA Maker与PowerApp集成并创建应用程序
培训您自己的模型，并使用AutoML确定最佳模型
将Azure ML工作区与Power BI集成，并使用端点生成预测
这本书是给谁的
这本人工智能BI书是为数据分析师和BI开发人员准备的，他们希望通过自己的数据探索高级分析或人工智能的可能性。对Power BI的先验知识将帮助您充分利用本书。
Artificial Intelligence with Power BI
Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data
Key Features
Learn how to gain better insights from your data by applying different AI techniques within Power BI
Save time by creating machine learning models independently and integrating them within your BI reports
Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI
Book Description
The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.
This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.
You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.
By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.
What you will learn
Apply techniques to mitigate bias and handle outliers in your data
Prepare time series data for forecasting in Power BI
Prepare and shape your data for anomaly detection
Use text analytics in Power Query Editor
Integrate QnA Maker with PowerApps and create an app
Train your own models and identify the best one with AutoML
Integrate an Azure ML workspace with Power BI and use endpoints to generate predictions
Who this book is for
This artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.
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