You're reading from Hands-On Machine Learning on Google Cloud Platform

Product typeBook

Published inApr 2018

PublisherPackt

ISBN-139781788393485

Edition1st Edition

Tools

Google Cloud Platform

Concepts

Machine Learning

Authors (3):

Giuseppe Ciaburro

V Kishore Ayyadevara

Alexis Perrier

View More author details

Life cycle management

With Google Cloud Storage, the life cycle management of objects becomes simple and immediate. The life cycle of an object is the time between the creation of an object and its destruction. The rules for the duration of the object vary significantly between the programming platforms. In the case of archived objects we refer to the time in which the object remains stored in the space assigned to it.

The life cycle of a bucket can be managed through its configuration. The configuration contains a set of rules that apply to all objects in the bucket. The action specified on the object is performed when the object meets the criteria of one of the rules.

To enable life cycle for a bucket using the Google Cloud Console:

Go to Open the Google Cloud Platform Console and click on the Cloud Storage browser; the following window is opened:

In this window, examine...

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Hands-On Machine Learning on Google Cloud Platform

Published in: Apr 2018Publisher: PacktISBN-13: 9781788393485

Authors (3)

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro

V Kishore Ayyadevara

V Kishore Ayyadevara leads a team focused on using AI to solve problems in the healthcare space. He has 10 years' experience in data science, solving problems to improve customer experience in leading technology companies. In his current role, he is responsible for developing a variety of cutting edge analytical solutions that have an impact at scale while building strong technical teams. Prior to this, Kishore authored three books — Pro Machine Learning Algorithms, Hands-on Machine Learning with Google Cloud Platform, and SciPy Recipes. Kishore is an active learner with keen interest in identifying problems that can be solved using data, simplifying the complexity and in transferring techniques across domains to achieve quantifiable results.
Read more about V Kishore Ayyadevara

Alexis Perrier

Alexis Perrier is a data science consultant with experience in signal processing and stochastic algorithms. He holds a master's in mathematics from Universit Pierre et Marie Curie Paris VI and a PhD in signal processing from Tlcom ParisTech. He is actively involved in the DC data science community. He is also an avid book lover and proud owner of a real chalk blackboard, where he regularly shares his fascination of mathematical equations with his kids.
Read more about Alexis Perrier

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