Self-service AI with Power BI Desktop : machine learning insights for business /: machine learning insights for business. (2020)

• Record Type: Book
• Further Information: Note: Markus Ehrenmueller-Jensen.
• Other Names: Ehrenmueller-Jensen, Markus
• Contents: Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Power BI -- Power BI Desktop -- Installing Power BI Desktop -- Power BI Service -- Power BI Report Server -- Power BI Mobile App -- Self-Service BI vs. Enterprise BI -- A New Release Every Few Weeks -- Artificial Intelligence and All That Jazz -- Chapter Overview -- Example Database -- Example Reports -- Chapter 1: Asking Questions in Natural Language -- Q&A Visual -- How to Create a Q&A Visual -- Q&A Visual Applied -- Q&A Button -- Q&A Dialog -- Keywords -- Synonyms Teach Q&A -- Linguistic Schema -- Key Takeaways -- Chapter 2: The Insights Feature -- Explain the Increase -- Explain the Decrease -- Find Different Distributions -- Types of Insights -- Quick Insights Feature -- Types of Quick Insights -- Key Takeaways -- Chapter 3: Discovering Key Influencers -- Introduction -- Analyze Categorical Data -- Analyze Continuous Data -- Explain by Categorical Data -- Explain by Continuous Data -- Setting Granularity -- Filters -- Top Segments -- Top Segments Detail -- Types of Influences -- Fields -- Format Options -- Data Model -- Key Takeaways Chapter 4: Drilling Down and Decomposing Hierarchies -- Expand and Collapse in a Visual -- Drilling Up and Down in a Visual -- Hierarchies in the Data Model -- Drill-through -- Drill-through for a Measure -- Drill-through for a Column -- Drill-through to a Different Report -- Tooltip -- Decomposition Tree (traditional) -- Decomposition Tree (smart) -- Key Takeaways -- Chapter 5: Adding Smart Visualizations -- Trendline -- Trendline in DAX -- Forecast -- Adding a Custom Visualization -- Time Series Forecasting Chart -- Forecasting with ARIMA -- Forecasting TBATS -- Time Series Decomposition Chart Scatter Chart with Trendline -- Spline Chart -- Clustering -- Clustering with Outliers -- Outliers Detection -- Correlation Plot -- Decision Tree Chart -- Word Cloud -- Key Takeaways -- Chapter 6: Experimenting with Scenarios -- Scenarios in Action -- Creating a What-if Parameter -- Creating Measures in DAX -- Ahead of the Curve -- DAX at Its Best -- Key Takeaways -- Chapter 7: Characterizing a Dataset -- Power Query -- Column Quality -- Column Distribution -- Quality and Distribution Peek -- Column Profile -- Table Profile -- Key Takeaways -- Chapter 8: Creating Columns from Examples Power Query Mashup Language -- Add a Custom Column -- Column from Examples -- Web Scraping -- Web by Example -- Key Takeaways -- Chapter 9: Executing R and Python Visualizations -- R and Python -- Getting Power BI Ready for R -- Getting Power BI Ready for Python -- Introduction to R and Python Visualizations -- Simple R Script Visual -- Simple Python Script Visual -- R Script Editor and Python Script Editor -- R Script Visual: Table -- R Script Visual: Trendline -- R Script Visual: ARIMA -- R Script Visual: Time-Series Decomposition -- R Script Visual: Scatter with Trendline
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (344 pages)
• Subjects: 650.285/631; 004.165; Business -- Data processing; Artificial intelligence; Machine learning; Computer science; Machine learning; Computer science; Microsoft programming; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Science; Computers -- Programming -- Microsoft Programming; Artificial intelligence; Business -- Data processing; Computer science; Machine learning; Electronic books; Electronic books
• Languages: English
• ISBNs: 9781484262313
• Related ISBNs: 9781484262306
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.