Machine Learning: Branch of AI
Machine learning is the branch of Artificial intelligence which is renowned for its wondrous inventions. As the part of this family machine learning is also versatile and advance portray of computer sciences.
Relation between AI and ML:
AI aims to learn from data on certain task to maximize the performance of machine on this task. We learn a lot of new things through ML. It primes to develop a system to imitates human to respond circumstances. Artificial intelligence goes for finding the ideal solution. ML is the study of computer algorithms. It allows computer program to automatically improve two major types of ML in the field of computer sciences. First is supervised learning and other is unsupervised learning. The supervised learning algorithm try to model relationship and reliance between the target prediction output and the input features but on the other hand unsupervised learning are mainly used in pattern detection and eloquent modelling.
- The aim of artificial intelligence is to increase chance of success and not accuracy but on the other hand the aim of ML is to increase accuracy but it does not care about success.
- Artificial intelligence work as a computer program that does smart work but a ML is a simple concept machine takes data and learn from data.
- The goal of artificial intelligence is to fake natural intelligence to solve complex problem but the goal of ML is to learn from data on certain task to maximize the performance of machine on this task.
- Artificial intelligence enable decision making but ML allows system to learn new things from data. ML list leads to develop a system to mimic human to respond behaving situations by the machine learning involved in creating learning algorithms.
- Artificial intelligence leaves to intelligence or disturb but ML leads to knowledge