Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine LearningLearn 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. You’ll learn how to:
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Contents
Section 1 | |
Section 2 | |
Section 3 | |
Section 4 | |
Section 5 | |
Section 6 | |
Section 7 | |
Section 8 | |
Section 17 | |
Section 18 | |
Section 19 | |
Section 20 | |
Section 21 | |
Section 22 | |
Section 23 | |
Section 24 | |
Section 9 | |
Section 10 | |
Section 11 | |
Section 12 | |
Section 13 | |
Section 14 | |
Section 15 | |
Section 16 | |
Section 25 | |
Section 26 | |
Section 27 | |
Section 28 | |
Section 29 | |
Section 30 | |
Section 31 | |