Machine learning with microsoft technologies : (Record no. 36734)
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| INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| International Standard Book Number | 9781484236574 |
| DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Call number | 006.31 ET MA |
| MAIN ENTRY--PERSONAL NAME | |
| Authors | Etaati, Leila |
| TITLE STATEMENT | |
| Title | Machine learning with microsoft technologies : |
| Subtitle | selecting the right architecture and tools for your project |
| Statement of responsibility, etc | Leila Etaati |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New York : |
| Publisher | Apress, |
| Date | c2019. |
| PHYSICAL DESCRIPTION | |
| Extent | xv, 365 p. : |
| Other Details | ill. ; |
| Size | 26 cm. |
| SUMMARY | |
| Summary | Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Heading | Machine learning |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij |
| Public note | Location Map |
| MAIN ENTRY--PERSONAL NAME | |
| -- | 31944 |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| -- | 5121 |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Shelving location | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| University of Wollongong in Dubai | University of Wollongong in Dubai | Main Collection | 2020-01-20 | MERIC | 006.31 ET MA | T0063409 | 2019-10-14 | 2019-10-14 | REGULAR | Feb2020 |