| 000 | 01294nam a22001818i 4500 | ||
|---|---|---|---|
| 999 |
_c36734 _d36734 |
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| 001 | 019444856 | ||
| 020 | _a9781484236574 | ||
| 040 | _aUOWD | ||
| 082 | 0 | 4 | _a006.31 ET MA |
| 100 | 1 |
_aEtaati, Leila _931944 |
|
| 245 | 1 | 0 |
_aMachine learning with microsoft technologies : _bselecting the right architecture and tools for your project _cLeila Etaati |
| 260 |
_aNew York : _bApress, _cc2019. |
||
| 300 |
_axv, 365 p. : _bill. ; _c26 cm. |
||
| 520 | _aKnow 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. | ||
| 650 | 0 |
_aMachine learning _95121 |
|
| 856 |
_uhttps://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij _zLocation Map |
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| 942 |
_2ddc _cREGULAR |
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