Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
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Idioma: Inglés
Publicado por O'Reilly Media 5/7/2024, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
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Añadir al carritoPaperback or Softback. Condición: New. Artificial Intelligence with Microsoft Power Bi: Simpler AI for the Enterprise. Book.
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Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 58,11
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Añadir al carritoPaperback. Condición: new. Paperback. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoPaperback. Condición: New. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project.
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Idioma: Inglés
Publicado por O'Reilly Media 2024-06-04, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
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EUR 67,37
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Añadir al carritoPaperback. Condición: New. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project.
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Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
Librería: Revaluation Books, Exeter, Reino Unido
EUR 69,12
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 60,69
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Añadir al carritoPaperback. Condición: New. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 90,97
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por O'reilly Media Mai 2024, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 70,83
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.
EUR 63,68
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 109811275X ISBN 13: 9781098112752
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,61
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 350 pages. 9.19x7.00x0.79 inches. In Stock. This item is printed on demand.