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AI and Machine Learning are not the same and stop treating them as if they’re the same.
Possibly the two biggest buzzwords of the 21st century get thrown around in discussions like they’re the same word, and this needs to stop.
Before understanding their differences let’s talk about what they separately are.
To be as simple as possible
AI = Emulating Human Intellect
The grand vision behind AI was for machines to behave like humans, and even surpass human intelligence.
AI isn’t just a simple technology, it is a constellation of capabilities, that enables computers to :
- Reason for solutions
- Understand different datasets
- Learn from the world
- Perceive the world with a new lens
AI was designed with the intent to solve problems with the ease and creativity of the human mind.
Whether it is :
- Driving a car
- Diagnosing a disease
- Playing chess
A world where machines can understand people’s emotions from their worlds is what AI was built for.
To explain machine learning as simply as I can I’ll give you the following equation :
Machine Learning = The Brain behind AI
I have the perfect analogy for this scenario:
If AI can be described as a car, Machine Learning is the Engine behind that car.
Analogously, if AI is the goal of replicating human intellect, ML is the methodology.
Machine Learning is the process of teaching computers to:
- Learn from their data
- Identify patterns
- Make decisions with…