Machine Learning Real World Applications and Learning Techniques

G Srinivas

Machine learning (ML), Types of Learning, Traditional Programming, ML models and algorithms

Humans surround the real world, they can learn everything from their experiences with their learning capability and also we have computers, which work on our institutions, but can a computer also learn from experiences or past data like humans, so here comes the role of machine learning. Generally, the machines will not learn and think like humans i.e. they do not have IQ like the one we have; they just follow the instructions given by us. The Machine Learning is defined as enabling computers to learn things, which are not explicitly programmed to make successful predictions using previous experiences. It involves both mathematics and statistics to create models or algorithms. Many new high-impact applications of Machine Learning were discovered and brought to light, especially in healthcare, finance, speech recognition, autopilot cars, augmented reality, and more complex 3D and video applications. In this paper I have discussed what is machine learning and its types and how does machine learning works and the key elements of ML and I have also explained machine learning methods which are using today and its process, applications ,advantages, disadvantages. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view.

Published Paper   E-Certificate

"Machine Learning Real World Applications and Learning Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a543-a551, December-2024, Available :https://ijsdr.org/papers/IJSDR2412060.pdf

Volume 9 Issue 12, December-2024

Pages : a543-a551

Paper Reg. ID: IJSDR_300101

Published Paper Id: IJSDR2412060

Downloads: 000347189

Research Area: Science All

Country: NIZAMABAD, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2412060

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2412060

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition