Data Science and Intelligent Computing Techniques
Understanding The Evolution Of Machine Learning Algorithms
Authors: Anagha Negi and Hetal Bhavsar
Publishing Date: 01-10-2023
ISBN: 978-81-955020-2-8
Abstract
Initially the computers used to perform complex calculations and stored the data as well the instructions of how the data was handled. The evolution of computers was mainly focused on managing, manipulating and storing the data while following the instructions. Furthermore, algorithms were created that read large amounts of data and could apply classification and prediction rules that understood the data and extract insights from that data. This was the beginning of Machine Learning which is a subpart of Artificial Intelligence. The revolution of Artificial Intelligence and Machine Learning is the talking point of almost every conversation that takes place today. In this paper, we take you through the history of Machine Learning and AI through its algorithms. The development and advancement of algorithms and how it is changing the scenario today. We also provide a comprehensive and comparative analysis of different Machine Learning algorithms so that it is understood in its entirety.
Keywords
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Instance-based Learning.
Cite as
Anagha Negi and Hetal Bhavsar, "Understanding The Evolution Of Machine Learning Algorithms", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 255-265. https://doi.org/10.56155/978-81-955020-2-8-22