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

Approaching big data

The explosion of social networks, combined with the unstoppable spread of smartphones, justifies the fact that one of the recurring terms in the world of innovation, marketing, and information technology in recent years is big data. This term indicates data produced in large quantities, with considerable speed, and in the most diverse formats, the processing of which requires technologies and resources that go well beyond the conventional systems of management and storage of data. But what is enclosed in this term?

In a widely quoted article, The Age of Big Data, Steve Lohr (a technology reporter for The New York Times) explained big data in this way:

"What is Big Data? A meme and a marketing term, for sure, but also shorthand for advancing trends in technology that open the door to a new approach to understanding the world and making decisions."...

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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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