• Binitha S Thomson
• w. Rose Varuna

Machine learning is a kind of data analysis technique which provides a flexible way of learning information about the data, so that necessary action can be predicted accurately. Machine learning techniques will provide the way of analyzing and predicting the valuable information from the available data, so the further actions can be carried out accurately. There are several kinds of machine learning approaches which are available based on their behavior and working procedure. Machine learning is a branch of artificial intelligence which aims at solving real life engineering problems. It provides the opportunity to learn without being explicitly programmed and it is based on the concept of learning from data. It is so much ubiquitously used dozen a times a day that we may not even know it. The advantage of machine learning (ML) methods that are used for mathematical models, heuristic learning, knowledge acquisitions and decision trees for decision making. Thus, it provides controllability, observability and stability.

Machine learning, Artificial intelligence, Models and types of algorithms.

"Machine Learning Models With Types of Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.392-397, March-2019, Available :http://www.jetir.org/papers/JETIR1903459.pdf

"Machine Learning Models With Types of Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp392-397, March-2019, Available at : http://www.jetir.org/papers/JETIR1903459.pdf