Data Science Handbook

Name: Data Science Handbook
Brand: Unknown
SKU: 9781119857334
Price: 371.99 NZD
Availability: InStock

A Practical Approach

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Summary

The Data Science Handbook offers a comprehensive introduction to the field of data science, blending theoretical concepts with practical applications. It explores key methodologies and tools used by data scientists, including data analysis, machine learning, and statistical modelling. Perfect for beginners and seasoned professionals alike, it provides insights into solving complex problems through data-driven solutions.
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Format: Hardback

$371⁹⁹

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Data Science Handbook

$371⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're fascinated by the intersection of technology and analytics, and you want to delve into techniques and best practices in data science. It's perfect for those eager to grasp how data can be leveraged to uncover insights and drive decisions in various sectors.

Data Science Handbook

Description

Data Science Handbook

This desk reference handbook provides a hands-on experience with various algorithms and popular techniques used in real-time data science for researchers working in diverse domains.

Data Science is a leading research-driven area in the modern era, playing a crucial role in healthcare, engineering, education, mechatronics, and medical robotics. Building models and working with data is not value-neutral. We choose the problems we address, make assumptions in these models, and decide on metrics and algorithms for them. The data scientist identifies the problems that can be solved with data and uses expert tools of modelling and coding.

The book begins with introductory concepts in data science such as data munging, data preparation, and transforming data. Chapter 2 discusses data visualisation, drawing various plots and histograms. Chapter 3 covers mathematics and statistics for data science. Chapter 4 focuses on machine learning algorithms in data science. Chapter 5 comprises outlier analysis and the DBSCAN algorithm. Chapter 6 focuses on clustering. Chapter 7 discusses network analysis. Chapter 8 mainly addresses regression and the naive-Bayes classifier. Chapter 9 covers web-based data visualisations with Plotly. Chapter 10 discusses web scraping.

The book concludes with a section discussing 19 projects on various subjects within data science.

Audience

The handbook is intended for use by graduate students, research scholars in computer science and electrical engineering, and industry professionals across a range of industries such as healthcare.

Book Details

INFORMATION

ISBN: 9781119857334

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 22 November 2022

Country: United States

Imprint: Wiley-Scrivener

Contributors:

Edited by Kolla Bhanu Prakash

Audience: Professional and scholarly

DIMENSIONS

Weight: 948g

Pages: 480

Collections

Computing & Technology Education & Reference Non-Fiction Science & Nature

About the Author

Kolla Bhanu Prakash, PhD, is a Professor and Research Group Head for A.I. & Data Science Research group at K L University, India. He has published more than 80 research papers in international and national journals and conferences, as well as authored/edited 12 books and seven patents. His research interests include deep learning, data science, and quantum computing.