Posted by 4 years ago

Perhaps you have come across these words Machine Learning and Deep Learning and may assume they mean the same thing. They are not exactly the same thing even though they have the same origin. 

First of all, Machine Learning (ML) and Deep Learning (DL) are subsets of Artificial Intelligence (AI). And then, what is artificial intelligence? 

Artificial Intelligence is simply the science in which human intelligence and cognitive skills are transferred to machines and robots so they can perform human-related activities.  AI was born in the 1950s and Arthur Samuel is credited to have written the first computer learning program. 

Machine Learning a subset of (AI), uses computer algorithms backed by data to learn and improve in making informed decisions over time without continuous programming.  

Deep Learning is an offshoot of (ML) in which computer algorithms use artificial neural networks to analyse data like the human brain before making informed decisions or output. 

Here are the key differences:

1. ML always requires structured data meanwhile DL relies on artificial neural networks (ANN) to analyse data through its layers.

2. DL can take a longer time to train, while ML can be up and running within a shorter time. 
 

3. ML uses labelled data and often requires human intervention while DL through its artificial neural network learns from its errors without a need for human intervention.

4. DL systems require more powerful hardware due to the heavy algorithms and mathematical calculations involved which isn't the same for ML because it requires much simpler systems. Graphical Processing Units (GUI) are used for deep learning.