000 | 01297nam a2200229 4500 | ||
---|---|---|---|
008 | 220302b ||||| |||| 00| 0 eng d | ||
020 | _a9788194722991 (pbk.) | ||
082 |
_a006.3 _bFRE |
||
100 |
_aFregly, Chris _9788 |
||
100 |
_aBarth, Antje _9789 |
||
245 |
_aData science on AWS : _bimplementing end-to-end, continuous AI and machine learning pipelines |
||
260 |
_aMumbai _bO'Reilly Media _c2021 |
||
300 |
_axix, 500p., _bIncludes index |
||
500 | _ahttps://www.shroffpublishers.com/books/9788194722991/ | ||
520 | _aWith this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. | ||
650 |
_aMachine learning _9481 |
||
650 |
_aCloud computing _9790 |
||
650 |
_aData mining _9399 |
||
650 |
_aBusiness--Data processing _96658 |
||
650 |
_aAmazon Web Services (Firm) _96659 |
||
942 | _cBK | ||
999 |
_c7761 _d7761 |