Decoding Data: Exploring the Landscape of Machine Learning in Data Science

Author:   Priya Bansal
Publisher:   Sunshine
ISBN:  

9798869077578


Pages:   70
Publication Date:   10 December 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $64.44 Quantity:  
Add to Cart

Share |

Decoding Data: Exploring the Landscape of Machine Learning in Data Science


Add your own review!

Overview

Today, we live in the Data Age. Millions of terabytes of data are produced and collected every day. By collecting, storing, and analyzing this data, we can better understand the world around us and make better decisions. The breadth of the Data Age The breadth of the Data Age is vast. It impacts many industries, including: - Business: Businesses can use data to improve their products and services, understand their customers better, and make their marketing campaigns more effective. - Science: Scientists can use data to conduct new research, cure diseases, and develop new products and services. - Society: Governments and nonprofits can use data to solve problems, improve people's quality of life, and build a more just and equitable society. The origins of the Data Age The origins of the Data Age lie in a number of factors, including: - The digital revolution: The digital revolution has significantly increased data production. Today, many of the devices we use, including computers, smartphones, and other wireless devices, generate data. - The rise of the internet: The internet has made it easier to collect and share data from all over the world. - The development of new technologies: New technologies, such as artificial intelligence and machine learning, have made it possible to analyze data in new and innovative ways. The challenges of the Data Age The Data Age also presents a number of challenges, including: - Data privacy: The vast amount of data that is collected raises concerns about data privacy. - Data bias: Data can be biased, which can lead to inaccurate or unfair decisions. - Data literacy: The ability to understand and use data is essential in the Data Age, but many people lack this skill.

Full Product Details

Author:   Priya Bansal
Publisher:   Sunshine
Imprint:   Sunshine
Dimensions:   Width: 15.20cm , Height: 0.40cm , Length: 22.90cm
Weight:   0.104kg
ISBN:  

9798869077578


Pages:   70
Publication Date:   10 December 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

wl

Shopping Cart
Your cart is empty
Shopping cart
Mailing List