UNDERSTANDING THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE(AI), MACHINE LEARNING(ML), AND DEEP LEARNING(DL)
AI, ML, and DL are related to each other. AI is a superset of ML and DL.
ARTIFICIAL INTELLIGENCE (AI):
It is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. So, the word AI which is Artificial Intelligence is just a quality of a machine that helps machines to do 5 distinct things. These 5 things or qualities are needed to make anything intelligent. These are: -
· Estimation / Prediction
· Classification
· Grouping / Clustering
· Recommendation
· Making Decision
MACHINE LEARNING (ML):
Artificial intelligence can be achieved by Machine Learning (ML). It is the way of teaching the machine to recognize the patterns etc.
“Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed.”
Examples:
-Database mining Large datasets from the growth of automation/web.
E.g., Web click data, medical records, biology, engineering
- Applications can’t program by hand.
E.g., Autonomous helicopter, handwriting recognition, most of Natural Language Processing (NLP), Computer Vision.
- Self-customizing programs
E.g., Amazon, Netflix product recommendations - Understanding human learning (brain, real AI).
Machine learning algorithms: -
· Supervised learning
· Unsupervised learning
· Reinforcement learning
Supervised Learning: It is done by prediction and classification. EX:- Images classification, Audio Classification, Video Classification, etc.
Unsupervised learning: It is done without an instructor. In this, we used clustering and recommendation techniques.
Reinforcement learning makes use of decisions.
Deep learning (DL):- It is a form of Machine Learning that models patterns in data as complex,multi-layered networks. This is done by the neural networks.
So we can say that Artificial Intelligence applies machine learning, deep learning, and other techniques to solve actual problems.