Artificial Intelligence Vs. Machine Learning Vs. Deep Learning

You might be confused about,

Artificial Intelligence Systems,

Machine Learning Programs,

or Deep Learning Algorithms

Let me clear this confusion to you.

What is Artificial Intelligence(AI)?

Artificial Intelligence is the technique of developing machines that imitate human behavior. It provides objects, machines, and systems the ability to simulate real-world actions.

Think of this way — Artificial Intelligence(AI) systems are machines that think and act as humans do. They have an intelligent brain, just like humans do.

It is useful to your organization in ways you can’t even imagine an accurate visual perception of data, speech recognition, extracting insights from data, translation of documents and languages, and much more.

What is Machine Learning(ML)?

Machine Learning is the building block behind Artificial Intelligence systems. You might have read somewhere about AI and ML and probably gotten confused.

You may also think that AI is a subset of Machine Learning(ML), but it’s the other way around. Machine Learning is a subset of Artificial Intelligence.

Machine Learning is a technique, approach, or process for implementing Artificial Intelligence, which involves parsing massive amounts of data, learning from that data, and making predictions based on that.

Types of Machine Learning

SUPERVISED LEARNING

When the machine learning algorithms come across new data, it delivers the correct output based on these predefined parameters. As it receives more data, it corrects itself and makes accurate predictions.

UNSUPERVISED LEARNING

When any input is given, it will go to the appropriate cluster of data and use it to deliver the output. Netflix saves the user’s watch history and delivers content that is based on history. A classic case of data clustering!

REINFORCEMENT LEARNING

It involves making sequential decisions through Machine Learning algorithms for your business. The output depends on the current input, and the next input depends on the previous output.

What is Deep Learning(DL)?

Deep Learning algorithms are much more complex than simple Machine Learning algorithms. They make use of natural language processing combined with neural network development.

Neural networks are based on the biological neural networks that we have in our brains. It involves different interconnecting neurons(inputs in the case of Deep Learning) to form output.

Deep Learning algorithms are highly advanced, and they involve much more computation complexity than Machine Learning programs. Here’s an excellent example by geeksforgeeks-

Through Machine Learning algorithms implemented in a flashlight(for the sake of understanding), the model will learn and train itself to switch on the flashlight whenever you say “dark”.