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020			_a9789355422095
082			_a004.33 LAK-D
100			_aLakshmanan, Valliappa _922782
245		0	_aData science on the Google cloud platform: _bimplementing end-to-end real-time data pipelines: from ingest to machine learning
250			_a2nd
260			_aNew Delhi _bSPD: Shroff Publishers & Dist. Pvt. Ltd _c2022
300			_axvii, 440p. : illustrations ; 24 cm
505			_aMaking 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
520			_aLearn 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...
650			_aGoogle (Firm) Google Apps Real-time data processing Cloud computing Computing platformsData science _979261
650			_aGoogle Apps Real-time data processing _979262
650			_aCloud computing _979263
650			_a Computing platforms _979264
942			_cBK
999			_c199988 _d199988