Posted on /by Scool Team

Artificial Intelligence vs Machine Learning vs Deep Learning

Posted By Manas Bichoo

What is the first thing that comes in your mind when you hear the word “ Artificial Intelligence”? Don’t be surprised if it’s something related to robots, sci-fi movies, virtual assistants, or sensors. Well, Don’t get me wrong but the truth is we all are passively using Artificial Intelligence every day without us realizing it! But How is it even possible? You must be using apps such as Instagram, Facebook, and YouTube every day. Well, every one of them uses Artificial Intelligence! You must be wondering what exactly Artificial Intelligence is and how are these companies using it? Let’s understand!


What is Artificial Intelligence?

To understand what artificial intelligence is, let us first understand what is intelligence? Let’s start with the definition of intelligence from Wikipedia, which is actually one of the best I’ve seen so far: The ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context. The human brain is responsible for human beings to carry this amazing trait of intelligence which separates the homo sapiens from every other species existing on the planet. The reason why humans have evolved and disrupted the globe much more than any other species is because of the extremely complex and unique design of the human brain which carries this intelligence.

As we all know, the human brain has capabilities beyond our imagination. If this power of the human brain be amalgamated with the gigantic memory which the modern-day computers carry, we derive Artificial Intelligence, the ability of machines to demonstrate intelligence. A machine that has the ability to clone the core of human intelligence and continuously train and refine itself with every iteration has immense capability to create what even our consciousness won’t be able to. Hence, Artificial Intelligence can be interpreted as a process of training the machines on a set of stipulated rules or algorithms to display intelligence similar to humans and perform different tasks that even humans can’t!

“Artificial Intelligence is the new Electricity”

-Andrew Ng (Co-Founder: Google Brain & Coursera)

I hope now you have a basic understanding of what Artificial Intelligence is. I am sure that you must have also come across terms such as machine learning, deep learning, and neural networks that have become the trending hot buzz in the tech industry and media. You must have found articles in newspapers and various blogs on the internet stating career in machine learning as the highest-paid career of the century.

When I first heard about these terms, I was pretty confused about what’s the relation and difference between Machine Learning and Deep Learning? How are these terms related to Artificial Intelligence? What’s are their applications and use cases? I am sure if you are new to these terms, you must be wondering the same. Lets us answer these questions one by one. Lets us understand the relation between Artificial Intelligence, Machine Learning and Deep Learning by a digram:


As one can see from the above diagram, Machine Learning is a subfield of Artificial Intelligence and Deep Learning is a sub-part of Machine Learning. Artificial Intelligence is a technique that enables machines to mimic human behavior. The ultimate aim of AI is to make intelligent machines that can perform human behavior and take their own smart decisions.

What is Machine Learning?

Machine Learning is a sub-part of AI that uses statistical methods to enable machines to possess the ability to automatically learn and improve from experience without being explicitly programmed. This process of learning begins with observations or data, such as examples, direct experience, or instructions in order to look for patterns in data and make better decisions in the future based on the examples that we provide to the machine. The primary aim of Machine Learning is to allow the machine to learn automatically without human intervention or assistance and adjust
its actions accordingly.

What is Deep Learning?

Deep learning can be considered as a subset of Machine Learning that makes the use of some advanced concepts like Artificial Neural Networks to simulate human brain-like behavior. While Machine Learning uses simpler concepts, deep learning works with neural networks, which are designed to imitate how humans think and learn.

But why do we need Deep Learning?

The reason is Machine Learning algorithms can’t play longer in higher dimensions and a higher number of observations data. A Deep Learning-based system consists of layers of neurons stacked up with various functions that determine the decision-making just like a human brain. We refer to ‘Deep Learning’ because Neural Networks have various deep layers of neurons that enable the learning. Just about any problem that requires thought to figure out is a problem deep learning can learn to solve.

We can further classify Machine Learning into various sub-parts such as supervised learning, unsupervised learning, and reinforcement learning which can be individually explored if you want to dive deep into this field of study. Now, let us understand Deep Learning!

Applications of Artificial Intelligence:

Artificial Intelligence has a wide range of applications in each and every industry. Artificial Intelligence-based software solutions are being developed by every major tech company including some major contributions and research by companies like Google, Amazon, Facebook, and IBM. Some use cases of AI in different industries are:
● Disease Prediction in the Biomedical Industry.
● Driver-Less Cars in Automobile Industry.
● Financial Modeling and Predicting in the Finance Industry.
● Personal Assistants in Various Industries.
● Recommender Systems in E-Commerce & Entertainment Industry.

I am sure this blog must have helped you gain a good conceptual idea about Artificial Intelligence, Machine Learning, and Deep Learning. The relation and difference between them along with their relevance in various industries today.
Stay Tuned for More!


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