Machine Learning: Review

Autor: Shailaja Dilip Pawar, Vijay Vitthal Thitme, Dipali Navnath Argade, Amol Dagu Shelkar
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :251-256
ISSN: 2581-9429
DOI: 10.48175/ijarsct-1719
Popis: Machine Learning is that the core subarea of AI . It makes computers get into a self-learning mode without explicit programming. When fed new data, these computers learn, grow, change, and develop by themselves. The concept of machine learning has been around for a short time now. However, the power to automatically and quickly apply mathematical calculations to big data is now gaining a touch of momentum. Machine learning has been utilized in several places just like the self-driving Google car, the web recommendation engines – friend recommendations on Facebook, offer suggestions from Amazon, and in cyber fraud detection. In this paper, we will learn basic terms in machine learning.
Databáze: OpenAIRE