AI vs Machine Learning vs Deep Learning: What’s the Difference?

Whenever one comes across the terms Artificial Intelligence (AI), Machine Learning, and Deep Learning, all seem synonymous. But while they are connected, they are not exactly the same. Think of them as among Russian nesting dolls-the smallest nesting doll is Deep Learning, then Machine Learning, then AI. Let's just unravel all that in the real world.

What is Artificial Intelligence (AI)?

Artificial Intelligence is the big picture. It is the concept of machines able to carry out tasks in a smart manner. From robots to intelligent agents, AI is about mimicking human intelligence. In some cases, this may not emphasize learning from data; rather, it is purely logic programmed in.

Key Features of AI:

  • Simulates human decision making

  • May be rule-based or learning-based

  • Covers very broad use cases (vision, language, robotics, etc.)

What is Machine Learning (ML)?

Machine Learning is a subset of Artificial Intelligence. In simple words, it deals with making machines improve with experience, that is learning by themselves, without explicit instructions. Laws of spam filtering, predictive texts, and product recommendations are examples of this.

Types of Machine Learning:

  • Supervised Learning: Learning with data that has labels (labelled data used as an example or teacher).

  • Unsupervised Learning: Finding patterns in data without any labels.

  • Reinforcement Learning: Learning by trial-and-error with given rewards.

What is Deep Learning?

Deep Learning is a type of Machine Learning that uses neural networks with a lot of layers- hence the word deep. Deep Learning powers technologies like voice recognition, self-driving cars, and facial recognition.

Why Deep Learning is so Special:

  • Attempts to mimic the human brain (in a way!)

  • Needs vast datasets and computation power

  • Can extensively do complex tasks, especially image recognition and speech recognition

In Conclusion

AI, Machine Learning, and Deep Learning are closely related but are different. AI is a broad goal of intelligent machines, Machine Learning is a way of achieving that goal through data, and Deep Learning is a powerful subset of ML behind many recent accomplishments. Knowing the difference between the two will help lift the veil on the tech world, telling us how far we have come and where we are headed.

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Note: This Post was originally published on TCCI - Tririd Computer Coaching Institute and is shared here for educational purposes. To read the full article visit

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TCCI Computer Coaching
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