Have you ever wondered how your phone knows what word you are trying to type? Perhaps you have seen a robot vacuum cleaner zooming around your living room. Clearly technology is getting very smart. But how does it all work? Consequently many people hear big words like Artificial Intelligence, Machine Learning, and Deep Learning. However it can feel like a complicated secret code. Today we are going to crack that code together.
I want to show you the simple difference between ai machine learning and deep learning. In fact the whole thing is like a set of nesting dolls. There is one big doll, and inside it is a smaller doll, and inside that is the smallest doll. Therefore understanding the relationship is actually quite easy. We will use simple language so that you can explain it to anyone. You will soon feel like an expert on this fascinating topic. For instance knowing this will help you understand all the amazing new things technology can do for your business.
Let us start with the biggest doll of all. This is Artificial Intelligence (AI). Therefore you can think of AI as the main goal. Simply put AI is just the idea of making computers act smart like a human. This means the computer should be able to think, learn, and solve problems.
For example imagine you want a computer program to play a game of checkers. First you program it with the rules of the game. Next you want it to make smart moves. So when we talk about AI, we are talking about any time a machine is doing something that seems smart. In essence AI is the big, wide field of study. It is the dream of building a completely thinking machine.
Also AI has been a dream for a very long time. Consequently even old, simple computer programs that only follow a set of if then rules count as AI. For instance if you program a machine to say “hello” when you say “hi,” that is a form of AI. It is not very advanced, but it is still making the machine seem smart. Therefore AI is the oldest and biggest concept here.
Now let us open the big AI doll. Inside you find the next doll: Machine Learning (ML). This is where the computer really starts to learn on its own. Also this is an important point to grasp. So what is the difference between ai machine learning and deep learning? Well Machine Learning is a specific way to achieve AI. Instead of programming a computer with every single rule, you give it lots of examples.
Think of it this way. Imagine you want to teach a child to recognize a cat. You would not write down a list of rules like a cat has two pointy ears and four legs and a tail. Instead you show the child hundreds of pictures of cats and dogs. You simply say cat when it is a cat and dog when it is a dog. Eventually the child figures out the pattern all by themselves.
Machine Learning works the same way. Therefore you feed the computer massive amounts of data. The computer then looks for patterns in that data. This is how it learns to make predictions or decisions without being told exactly how to do it. This is the core difference between ai machine learning and deep learning compared to old school AI. It’s about learning from data.
Also you are probably using Machine Learning every single day. For example when your email program sorts spam away from your important messages, that is ML. Similarly when an online store suggests a product you might like, that is ML too. It is a powerful way to create smart applications.
To clarify AI is the overall goal of creating smart behavior. Conversely Machine Learning is the set of tools and methods that help us reach that goal. So every time you use Machine Learning, you are creating Artificial Intelligence. But not all Artificial Intelligence uses Machine Learning. For instance an old calculator that adds numbers perfectly is a kind of AI, but it does not use Machine Learning to learn how to add. It just follows fixed instructions. Therefore Machine Learning is a modern and very effective subset of AI.
Finally we open the Machine Learning doll. Inside we find the smallest and smartest doll of all: Deep Learning (DL). This is the latest and most advanced method we have for making computers learn. It is also a part of the answer to the difference between ai machine learning and deep learning.
Deep Learning uses something called Artificial Neural Networks. Now do not let that big phrase scare you. Just imagine a big, complex network of tiny switches, like a huge brain inside the computer. These switches are organized into many different layers. Consequently we call it deep learning because it has many layers for the information to pass through.
So why is this so special? Well Deep Learning is amazing because it can handle incredibly complex problems that Machine Learning sometimes struggles with. For example Machine Learning might need a human to help it by saying look for things that are red and round. However Deep Learning can look at a picture and figure out for itself that the object is a banana without any human pre-instructions about shape or color. It can learn features all by itself.
This is why Deep Learning is responsible for the most amazing breakthroughs you see today. For instance things like self driving cars, highly accurate language translation, and machines that can understand and generate human speech are all powered by Deep Learning. Also this method makes the computer incredibly good at dealing with very large amounts of unstructured data like images, sound, and natural text.
To truly understand the power of this technology, you need to see it in the real world. Therefore let us look at some clear ai vs ml examples and real life examples of machine learning. You will see that these systems are everywhere.
First consider your email. Every day your email service decides which messages are important and which are junk (spam). This uses Machine Learning. It looks at thousands of emails you have marked as spam before. The system learns patterns like certain words, links, or senders. Finally when a new email arrives, the ML model quickly decides if it looks like the old spam emails it has learned from. This is one of the best machine learning applications in real life.
Second think about when you shop online. When you look at a product, the website often says People who bought this also bought that. This uses Machine Learning too. The system analyzes the purchase history of millions of people. It finds a connection between what you look at and what others bought. Consequently it makes a suggestion just for you. These examples of machine learning in real life make shopping easier and more relevant for you.
Next consider your voice assistant, like the one on your phone. When you say What is the weather today?, the device must first understand your voice, turn it into text, and then understand the meaning. The voice recognition part is often powered by Deep Learning. This is because it is so good at processing complex audio data. Also when you use a translation app to change languages, that is Deep Learning working incredibly fast to understand and translate complex human language.
Furthermore many modern phones and applications can recognize your face to unlock the device. This is Deep Learning at work. It is capable of analyzing the tiny details and unique features of your face with high accuracy. This level of complex visual analysis shows the great value of understanding the difference between ai machine learning and deep learning. In short Deep Learning allows for these highly sophisticated visual tasks.
So you have a great business idea. You want to use these smart technologies to grow and improve your work. Perhaps you need an app that predicts customer needs, or a website that uses AI to personalize content. The question is how do you start?
This is where ai and machine learning companies come in. These companies specialize in taking the complex ideas of AI, ML, and DL and turning them into practical tools for businesses like yours. For example they can build a system that sorts through thousands of support requests instantly. Also they can create a smart solution that analyzes your sales data to find hidden trends.
If you are looking specifically within your region, you will find many strong ai and machine learning companies in india. They offer a wide range of expertise, from simple Machine Learning models to cutting edge Deep Learning solutions. Consequently partnering with a professional team is the fastest way to bring this advanced technology into your business operations.
Therefore when you are ready to explore the specific ways these technologies can help you, we can assist. For instance you might want to create a new mobile application or optimize your digital strategy. You can check out our professional services to see how we help businesses integrate Machine Learning and Deep Learning solutions to solve real world problems. We focus on making the process simple and clear for you.