Machine Learning Introduction
Basic introduction about machine learning and its type's
what is machine learning?
Machine learning is part of artificial intelligence which allows computers to learn automatically from data and it improves performance from experience and predicts things without being explicitly programmed.
Application of Machine learning
Image Recognition
Speech Recognition
Product Recommendations
Self Driving cars
Email Spam
Medical Diagnosis
Types of Machine Learning:
Supervised Machine learning
The goal of supervised learning is to map input data with the output data. Supervised learning is based on supervision, and it is the same as when a student learns things under the supervision of the teacher. An example of supervised learning is spam filtering.
Unsupervised Machine Learning
The goal of unsupervised learning is to restructure the input data into new features or a group of objects with similar patterns.
An example of unsupervised is the cat-dog classifier.
Reinforcement Learning
Reinforcement learning is a feedback-based learning method, in which a learning agent gets a reward for each right action and gets a penalty for each wrong action. The agent learns automatically with this feedback and improves its performance.
An example of reinforcement is a robotic dog.