Get Free Shipping on orders over $79
Data Science in Practice : Studies in Big Data : Book 46 - Author

Data Science in Practice

By: Author

eText | 19 September 2018

At a Glance

eText


$209.00

or 4 interest-free payments of $52.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK