logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Science On The Google Cloud Platform 1st Edition Valliappa Lakshmanan

  • SKU: BELL-23420934
Data Science On The Google Cloud Platform 1st Edition Valliappa Lakshmanan
$ 31.00 $ 45.00 (-31%)

4.7

76 reviews

Data Science On The Google Cloud Platform 1st Edition Valliappa Lakshmanan instant download after payment.

Publisher: O'Reilly Media
File Extension: PDF
File size: 15.61 MB
Pages: 408
Author: Valliappa Lakshmanan
ISBN: 9781491974568, 1491974567
Language: English
Year: 2018
Edition: 1

Product desciption

Data Science On The Google Cloud Platform 1st Edition Valliappa Lakshmanan by Valliappa Lakshmanan 9781491974568, 1491974567 instant download after payment.

Implementing End-To-End Real-Time Data Pipelines : From Ingest to 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. Through 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 science.

Related Products