The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Introduction to Machine Learning and Its Application
Abstract
In today's world, a huge amount of data is available. So, all the available data are analyzed to get information, and later this data is used to train the machine learning algorithm. Machine learning is a subpart of artificial intelligence where machines are given training with data and the machine predicts the results. Machine learning is being used in healthcare, image processing, marketing, etc. The aim of machine learning is to reduce the work of the programmer by doing complex coding and decreasing human interaction with systems. The machine learns itself from past data and then predict the desired output. This chapter describes machine learning in brief with different machine learning algorithms with examples and about machine learning frameworks such as tensor flow and Keras. The limitations of machine learning and various applications of machine learning are discussed. This chapter also describes how to identify features in machine learning data.
Related Content
|
.
© 2023.
17 pages.
|
|
.
© 2023.
13 pages.
|
|
.
© 2023.
18 pages.
|
|
.
© 2023.
20 pages.
|
|
.
© 2023.
26 pages.
|
|
.
© 2023.
14 pages.
|
|
.
© 2023.
20 pages.
|
|
|