Deep Learning @ Difference Between Artificial Intelligent (AL), Machine Learning (ML) & Deep Learning
Artificial Intelligence is sub
sector of deep learning, AI which is used to help machines do something that is
natural to humans. Deep learning aims to
‘understand’ data and not be confined to just one task.
More Insight @ Press Release
The Decoder
Deep Part of Learning is when Things Learn to Think Like You
Deep Learning
The Decoder is a column that
will focus on any new tech or business idea and explain its effects, both on
the company and the user
The buzzword right now is
artificial intelligence. Within artificial intelligence, the sub sector that is
gaining the most traction is deep learning. You hear it everywhere and the talk
is that it will disrupt all major industries.
Deep learning is a method of artificial intelligence
which is used to help machines do something that is natural to humans — think
and take decisions logically.
Deep learning methodologies can
potentially help a selfdriving car figure out traffic signs or maybe identify
defects in a product manufacturing line. Its work is inspired by how the brain
functions and makes connections. We can link one thing to another. The idea
with deep learning is to make machines to do just that — think. Deep learning
aims to ‘understand’ data as a whole and not be confined to just one task.
WHAT IS THE DIFFERENCE BETWEEN ARTIFICIAL INTELLIGENCE
(AI), MACHINE LEARNING (ML) AND DEEP LEARNING?
To oversimplify it — artificial intelligence (AI) is a
broad study area and its subset is machine learning and machine learning’s
subset is deep learning. Machine learning is a method wherein a machine learns
how to read data.
“AI is the biggest, ML is smaller
and deep learning is even smaller,” said Andrew Ng, AI evangelist and
cofounder, Coursera. All of these terms are connected to one another, but are
not the same. Machine learning is the current technology state we are in.
The ‘deep’ part of deep learning
is when a system has become ‘intelligent’ enough to classify data more and more
accurately and can learn better. More importantly, the system can learn from
mistakes and enhance itself.
WHERE ALL CAN DEEP LEARNING BE POTENTIALLY USEFUL?
Deep Learning can be used in self-driving cars, the
manufacturing sector, gaming like in Go (the game), precision medicine and
various analysis.
Source | Economic
Times | 9th March 2018
Regards
Prof. Pralhad Jadhav
Master of Library & Information Science (NET
Qualified)
Senior Manager @ Knowledge Repository
Khaitan & Co
Twitter Handle | @Pralhad161978
No comments:
Post a Comment