000			04255nam a2200313 i 4500
003			CSPC
005			20250922143042.0
008			250911s2022 -uka 001 0 eng d
020			_a9781801814638
040			_cCSPC _aCSPC _beng _erda
050	0	4	_aQA76.76.M52 _b.D54 2022
082	0	4	_a006.3 _bD565a
100	1		_aDiepeveen, Mary-Jo, _eauthor.
245	1	0	_aArtificial intelligence with power BI : _btake your data analytics skills to the next level by leveraging the AI capabilities in power BI / _cMary-Jo Diepeveen.
264		1	_aBirmingham, UK : _bPackt Publishing, _c2022.
300			_axv, 330 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aIncludes index.
505	0		_aPart 1: AI fundamentals -- Exploring data in power BI -- Data preparation -- Part 2: Out-of-the-box AI features -- Forecasting time-series data -- Detecting anomalies in your data using power BI -- Using natural language to explore data with the Q&A visual -- Using cognitive services -- Integrating natural language understanding with power BI -- Integrating an interactive question and answering app into power BI -- Getting insights from images with computer version -- Part 3: Create your own models -- Using automated machine learning with azure and power BI -- Training a model with azure machine learning -- Responsible AI.
520			_a"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."
650		0	_aBusiness _xData processing.
650		0	_aArtificial intelligence.
650		0	_aMachine learning.
650		0	_aComputer science.
942			_2ddc _n0 _cBK _h006.3 _iD565a _kGRD _m2022
999			_c30486 _d30486