東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Self-service AI with Power BI Deskto...

Ehrenmueller-Jensen, Markus.

FindBook

Google Book

Amazon

博客來

Self-service AI with Power BI Desktop = machine learning insights for business /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Self-service AI with Power BI Desktop/ by Markus Ehrenmueller-Jensen.
其他題名:	machine learning insights for business /
作者:	Ehrenmueller-Jensen, Markus.
出版者:	Berkeley, CA :Apress : : 2020.,
面頁冊數:	xxiii, 344 p. :ill., digital ;24 cm.
內容註:	1. Asking Questions in Natural Language -- 2. The Insights Feature -- 3. Discovering Key Influencers -- 4. Drill-Down and Decomposing Hierarchies -- 5. Adding Smart Visualizations -- 6. Experimenting with Scenarios -- 7. Characterizing a Dataset -- 8. Creating Columns from Example -- 9. Executing R and Python Visualizations -- 10. Transforming Data with R and Python -- 11. Execute Machine Learning Models in the Azure Cloud.
Contained By:	Springer Nature eBook
標題:	Business - Data processing. -
電子資源:	https://doi.org/10.1007/978-1-4842-6231-3
ISBN:	9781484262313

Self-service AI with Power BI Desktop = machine learning insights for business /
Ehrenmueller-Jensen, Markus.

Self-service AI with Power BI Desktopmachine learning insights for business /[electronic resource] :by Markus Ehrenmueller-Jensen. - Berkeley, CA :Apress :2020. - xxiii, 344 p. :ill., digital ;24 cm.

1. Asking Questions in Natural Language -- 2. The Insights Feature -- 3. Discovering Key Influencers -- 4. Drill-Down and Decomposing Hierarchies -- 5. Adding Smart Visualizations -- 6. Experimenting with Scenarios -- 7. Characterizing a Dataset -- 8. Creating Columns from Example -- 9. Executing R and Python Visualizations -- 10. Transforming Data with R and Python -- 11. Execute Machine Learning Models in the Azure Cloud.

ISBN: 9781484262313

Standard No.: 10.1007/978-1-4842-6231-3doiSubjects--Uniform Titles:

Microsoft .NET Framework.
Subjects--Topical Terms:

527441
Business
--Data processing.

LC Class. No.: HF5548.2 / .E374 2020

Dewey Class. No.: 650.285631

Self-service AI with Power BI Desktop = machine learning insights for business /
LDR:01454nmm a2200313 a 4500 001 2244008
003 DE-He213
005 20210201095011.0
006 m d
007 cr nn 008maaau
008 211207s2020 cau s 0 eng d
020 $a 9781484262313 $q (electronic bk.)
020 $a 9781484262306 $q (paper)
024 7 $a 10.1007/978-1-4842-6231-3 $2 doi
035 $a 978-1-4842-6231-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HF5548.2 $b .E374 2020
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 650.285631 $2 23
090 $a HF5548.2 $b .E33 2020
100 1 $a Ehrenmueller-Jensen, Markus. $3 3504536
245 1 0 $a Self-service AI with Power BI Desktop $h [electronic resource] : $b machine learning insights for business / $c by Markus Ehrenmueller-Jensen.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a xxiii, 344 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Asking Questions in Natural Language -- 2. The Insights Feature -- 3. Discovering Key Influencers -- 4. Drill-Down and Decomposing Hierarchies -- 5. Adding Smart Visualizations -- 6. Experimenting with Scenarios -- 7. Characterizing a Dataset -- 8. Creating Columns from Example -- 9. Executing R and Python Visualizations -- 10. Transforming Data with R and Python -- 11. Execute Machine Learning Models in the Azure Cloud.
630 0 0 $a Microsoft .NET Framework. $3 3270493
650 0 $a Business $x Data processing. $3 527441
650 0 $a Artificial intelligence. $3 516317
650 0 $a Machine learning. $3 533906
650 0 $a Computer science. $3 523869
650 1 4 $a Microsoft and .NET. $3 3134847
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Computer Science, general. $3 892601
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-6231-3
950 $a Professional and Applied Computing (SpringerNature-12059)