Data science on the Google cloud platform: implementing end-to-end real-time data pipelines: from ingest to machine learning
Material type:
TextPublication details: New Delhi SPD: Shroff Publishers & Dist. Pvt. Ltd 2022Edition: 2ndDescription: xvii, 440p. : illustrations ; 24 cmISBN: - 9789355422095
- 004.33 LAK-D
| Item type | Current library | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 004.33 LAK-D (Browse shelf(Opens below)) | Available | 102782 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 004.33 LAK-D (Browse shelf(Opens below)) | Available | 102783 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 004.33 LAK-D (Browse shelf(Opens below)) | Available | 102784 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 004.33 LAK-D (Browse shelf(Opens below)) | Available | 102785 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Center for Artificial Intelligence | 004.33 LAK-D (Browse shelf(Opens below)) | Available | 102786 |
Making better decisions based on data -- Ingesting data into the cloud -- Creating compelling dashboards -- Streaming data: publication and
ingest -- Interactive data exploration -- Bayes classifier on cloud dataproc -- Machine learning: logistic regression on Spark -- Time-windowed
aggregate features -- Machine learning classifier using TensorFlow -- Real-time machine learning
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the
Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data
pipeline, using statistical and machine learning methods and tools on GCP. Over the course of the book, you'll work through a sample business
decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in
your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data scien...