This field of study explores the use of computational algorithms to turn empirical data into models that can be used. Machine learning developed out of traditional statistics and artificial intelligence communities. Machine learning has become one of the hottest computational science topics in the last decade due to the efforts of corporations such as Google, Microsoft, Facebook, Amazon, and so on. They have collected massive amounts of data and will continue to do so. The All-India Council for Robotics and Automation https://www.aicra.org/ provides a platform for students and experts to showcase their skills in #robotics and #machinelearning.
The opportunity has been provided to re-energize the statistical and computational approaches to autogenerate useful models out of data. https://www.aicra.org/ is aimed at upgrading computer labs into robotics labs https://www.aicra.ac.in/rsc.php for making India the best in machine learning and artificial intelligence fields.
As a result, machine learning contains ideas that have been inherited and adapted from many disciplines, making it a multidisciplinary and interdisciplinary field. Seeing this, https://www.aicra.org/ also welcomes district coordinators to support us and help in serving society equally leading the country to be at an advanced level in IoT, machine learnings https://www.aicra.ac.in/district-coordinator.php
DATA SCIENCE
It is an extensive interdisciplinary field that includes all the fields that make up its subfields of Artificial Intelligence.
ARTIFICIAL INTELLIGENCE
Machine learning is one of the focused areas of artificial intelligence (AI), which is a superset. The basic idea behind AI is for computers to develop intelligence based on their knowledge of their environment and input parameters/attributes, as well as their response to performing tasks based on expectations.
Machine learning is a broad term that refers to algorithms and approaches that may be used to detect data, build representations, and perform tasks like a prediction.