Abstract
This is an important chapter because it discusses the basic and practical concepts of machine learning (ML). I did not take the academic book style to explain these concepts. I have directed my thoughts and energy to provide you with the concepts that are useful during practical decision making. Hence, while explaining the concepts, terminologies, and technical details, I use examples and case studies that are be helpful in extracting relevant insight from the chapter.
This is a preview of subscription content, log in via an institution to check access.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Dr. Patanjali Kashyap
About this chapter
Cite this chapter
Kashyap, P. (2017). The Practical Concepts of Machine Learning. In: Machine Learning for Decision Makers. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2988-0_2
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2988-0_2
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2987-3
Online ISBN: 978-1-4842-2988-0
eBook Packages: Professional and Applied ComputingProfessional and Applied Computing (R0)Apress Access Books