Abstract
This chapter aims to make an introduction to the field of machine learning and to clarify the scope of similar domains, particularly deep learning. It also aims to compare different machine learning approaches, introduce some of the popular machine learning models, mention significant machine learning concepts, and walk you through the steps of machine learning. This chapter is a very significant one since deep learning is a subsection of machine learning, and therefore, most explanations are also valid for deep learning.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Icons made by Freepik, Those icons, Eucalyp from www.flaticon.com
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 Orhan Gazi Yalçın
About this chapter
Cite this chapter
Yalçın, O.G. (2021). Introduction to Machine Learning. In: Applied Neural Networks with TensorFlow 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6513-0_2
Download citation
DOI: https://doi.org/10.1007/978-1-4842-6513-0_2
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6512-3
Online ISBN: 978-1-4842-6513-0
eBook Packages: Professional and Applied ComputingProfessional and Applied Computing (R0)Apress Access Books