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Use enterprise intelligence to energy company development, improve effectivity, and enhance company resolution making. With this sensible e-book that includes hands-on examples in Energy BI with primary Python and R code, you will discover essentially the most related AI use circumstances for BI, together with improved forecasting, automated classification, and AI-powered suggestions. And you may discover ways to draw insights from unstructured information sources like textual content, doc, and picture recordsdata.
Writer Tobias Zwingmann helps BI professionals, enterprise analysts, and information analytics perceive high-impact areas of synthetic intelligence. You will discover ways to leverage common AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of idea with out the assistance of software program engineers or information scientists.
Learn the way AI can generate enterprise affect in BI environments Use AutoML for automated classification and improved forecasting Implement suggestion providers to assist decision-making Draw insights from textual content information at scale with NLP providers Extract info from paperwork and pictures with pc imaginative and prescient providers Construct interactive person frontends for AI-powered dashboard prototypes Implement an end-to-end case research for constructing an AI-powered buyer analytics dashboard
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Writer : O’Reilly Media
Publication date : July 19 2022
Version : 1st
Language : English
Print size : 389 pages
ISBN-10 : 1098111478
ISBN-13 : 978-1098111472
Merchandise weight : 1.05 kg
Dimensions : 17.78 x 2.54 x 23.5 cm
Greatest Sellers Rank: #1,016,401 in Books (See Prime 100 in Books) #123 in Machine Idea #189 in Enterprise Intelligence Instruments #347 in Enterprise Analysis & Improvement
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