Madhavan, P. G.

Data Science for Iot Engineers: A Systems Analytics Approach

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ISBN 13:
9781683926429
author:
Madhavan, P. G.
format:
Paperback
publisher:
Mercury Learning and Information
language:
English
Publication Year:
2021
Pages:
180
Dimensions:
22.8 x 17.8 x 1 centimetres (0.4
Genre:
Business, Communication, General,
Condition:
New
Availability:
Item usually sent within 10 working days
£32.13

Description

Data Science for IoT Engineers: A Comprehensive Guide This book provides a robust understanding of modern data science techniques, integrating systems theory and machine learning to support practical applications in IoT. It covers key topics such as machine learning, systems theory, linear algebra, digital signal processing, and probability theory. The book is structured into two parts, starting with the basics and progressing to advanced concepts like the Kalman filter and Bayesian estimation. A dynamic machine learning model is developed using these techniques, which can be applied to real-life business problems in IoT. The book also introduces digital twins, a key application of data science in IoT. With its focus on practical applications and MATLAB code, this book serves as a workbook for professionals in engineering, physics, mathematics, and related fields who want to understand data science and its relevance to modern applications.

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