Data science on the Google cloud platform: (Record no. 199988)
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| fixed length control field | 01961nam a2200253Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260520113358.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210219s9999||||xx |||||||||||||| ||und|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789355422095 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.33 LAK-D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Lakshmanan, Valliappa |
| 245 #0 - TITLE STATEMENT | |
| Title | Data science on the Google cloud platform: |
| Remainder of title | implementing end-to-end real-time data pipelines: from ingest to machine learning |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Delhi |
| Name of publisher | SPD: Shroff Publishers & Dist. Pvt. Ltd |
| Year of publication | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvii, 440p. : illustrations ; 24 cm |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Making better decisions based on data -- Ingesting data into the cloud -- Creating compelling dashboards -- Streaming data: publication and<br/>ingest -- Interactive data exploration -- Bayes classifier on cloud dataproc -- Machine learning: logistic regression on Spark -- Time-windowed<br/>aggregate features -- Machine learning classifier using TensorFlow -- Real-time machine learning |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the<br/>Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data<br/>pipeline, using statistical and machine learning methods and tools on GCP. Over the course of the book, you'll work through a sample business<br/>decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in<br/>your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data scien... |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Google (Firm) Google Apps Real-time data processing Cloud computing Computing platformsData science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Google Apps Real-time data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Cloud computing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computing platforms |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 004.33 LAK-D | 102782 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 004.33 LAK-D | 102783 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 004.33 LAK-D | 102784 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 004.33 LAK-D | 102785 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 004.33 LAK-D | 102786 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises |