Review on Machine Learning and Algorithms
Abstract & Details
Research Area
Institute of Engineering and Technology
Keywords
Machine learning
artificial intelligence
supervised learning
unsupervised learning
reinforcement learning
neural networks
deep learning
data mining
predictive analytics
Abstract
Within artificial intelligence (AI), machine learning (ML) has become a discipline that is transforming a number of industries by allowing systems to learn from data, recognize patterns, and make decisions with little assistance from humans. The theoretical underpinnings of machine learning are examined in this overview, along with important algorithms including reinforcement learning, supervised learning, and unsupervised learning. It draws attention to the real-world uses of these algorithms in a variety of fields, such as marketing, banking, healthcare, and driverless cars. The difficulties encountered in the field, including issues with data quality, overfitting, interpretability, and ethics, are also covered in the paper. This assessment attempts to give a thorough grasp of the field's potential and its implications for upcoming technological developments by looking at the state and trends of machine learning today and in the future.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nishant Kumar | Alva’s Institute of Engineering and Technology |
| 2 | Bharath | Alva’s Institute of Engineering and Technology |
| 3 | Srikanth Raju | Alva’s Institute of Engineering and Technology |
| 4 | Shravitha | Alva’s Institute of Engineering and Technology |
| 5 | Mr. Pradeep Nayak | Alva’s Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kumar, Nishant, Bharath, Raju, Srikanth, Shravitha, & Nayak, Mr. Pradeep (2024). Review on Machine Learning and Algorithms. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 1919-1924.
MLA Style
Kumar, Nishant, et al. "Review on Machine Learning and Algorithms." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 1919-1924.
IEEE Style
Nishant Kumar, Bharath, Srikanth Raju, Shravitha, and Mr. Pradeep Nayak, "Review on Machine Learning and Algorithms," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 1919-1924, 2024.
Vancouver Style
Kumar Nishant, Bharath, Raju Srikanth, Shravitha, Nayak Mr. Pradeep. Review on Machine Learning and Algorithms. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):1919-1924.
Harvard Style
Kumar, Nishant, Bharath, Raju, Srikanth, Shravitha, & Nayak, Mr. Pradeep (2024) 'Review on Machine Learning and Algorithms', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 1919-1924.
Chicago Style
Kumar, Nishant, et al. "Review on Machine Learning and Algorithms." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1919-1924.
Turabian Style
Kumar, Nishant, et al. "Review on Machine Learning and Algorithms." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1919-1924.
Related Research
DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
PDF Unavailable
INFLUENCE OF TEACHER PERSONAL COMPETENCE AND SCHOOL LEADERSHIP ON STUDENT ACHIEVEMENT IN MEDIA AND INFORMATION LITERACY
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
PDF Unavailable
IoT-Based Elderly Emergency Health Monitoring System integrated with a Smart Ambulance mechanism
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
PDF Unavailable