Machine Learning Methods, Techniques and Applications
Machine Learning is a subset of Artificial Intelligence (AI) that focuses on the development of computer algorithms that improve automatically through experience and by the use of data. Machine Learning is all about creating and implementing algorithms that facilitate these decisions and predictions. These algorithms are designed to improve their performance over time, becoming more accurate and effective as they process more data. In traditional programming, a computer follows a set of predefined instructions to perform a task. However, in machine learning, the computer is given a set of examples (data) and a task to perform, but it's up to the computer to figure out how to accomplish the task based on the examples it's given. In this paper we have discussed various types of machine learning and its types, how does machine learning works and we have also explained machine learning method including supervised learning, unsupervised learning, and reinforcement learning.
Authors
- S. Thilagavathi
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-05-31
- DOI
- https://doi.org/10.22214/ijraset.2025.71812
- Primary Topic
- Data Mining and Machine Learning Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00