Compare machine learning and deep learning.
Answers
Answer:
To recap the differences between the two: Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an "artificial neural network” that can learn and make intelligent decisions on its own.
Answer:
MACHINE LEARNING
The term machine learning was first coined in 1959 by Arthur Samuel
Machine learning is the subset of AI which learns from the past data and experiences
It requires a less amount of data as compared to AI and deep learning
The main goal of machine learning is to make machines learn from past data experiences
DEEP LEARNING
The term deep learning was first coined in 2000 by Igor Aizenberg
Deep learning is a subset of machine learning and AI and influenced with the help of human brain cells called neurons
It uses a large amount of data as compared to machine learning
The main goal of DL is to create intelligent machines that can think like human brain and can perform difficult task as human brain can do
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