“Machine Learning and its Applications” by Peter Wlodarczak is a valuable resource for those looking to explore the practical uses of machine learning in various fields. Published by CRC Press in 2019, this book provides an insightful overview of how machine learning can solve real-world problems and optimize processes in industries like medicine, finance, marketing, and more.

Book Details:

  • Author: Peter Wlodarczak
  • Publisher: CRC Press
  • Language: English
  • Publication Date: November 4, 2019
  • Pages: 204
  • ISBN-13: 978-1138328228
  • ISBN-10: 1138328227

Key Learning Points:

This book offers readers a comprehensive understanding of how machine learning can be applied to enhance efficiency and decision-making in various sectors. By reading “Machine Learning and its Applications,” you’ll learn:

  • Fundamental concepts of machine learning.
  • How machine learning is used in medicine to improve diagnostics and treatment.
  • The role of machine learning in financial analysis and forecasting.
  • Applications in marketing, advertising, and industry.
  • Ethical considerations when using machine learning technologies.

The book also includes case studies and practical examples that make it easier for readers to grasp how to implement machine learning in real-world scenarios.

Who Should Read This Book?

  • Beginner data specialists: Get a strong foundation in machine learning concepts and applications.
  • Experienced analysts: Discover new ways to apply machine learning to enhance your work.
  • Project managers: Learn how to use machine learning to make data-driven decisions and improve operational efficiency.

About the Author:

Peter Wlodarczak is a Swiss-born IT consultant specializing in data analytics and machine learning. He holds a Master’s degree and a PhD from the University of Southern Queensland, Australia, and has been involved in numerous large-scale software engineering and data analysis projects. Peter has authored over 20 research papers and book chapters, with interests spanning machine learning, eHealth, and biocomputing.

To discover more insightful books on machine learning and data analytics, visit ThinkJava.net, where we regularly feature reviews and recommendations to help you stay ahead in the rapidly evolving tech landscape.

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Machine Learning,

Last Update: October 2, 2024

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