7 AI algorithms

Your understanding of the devices and systems around you just got complex, fast. All of the methodologies are made of the same algorithmic building blocks, combined in different ways depending on the data and the larger function they perform together. The different types of these AI algorithms, are classification, optimization, regression, and clustering.

In the video, you’ll learn about different types of AI algorithms and how they’re being used today.

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Ever wondered how your email knows what is junk mail and what is not?

Or how does your music app always hit the right note with its recommendations?

That happens thanks to something called AI algorithms.

Imagine these algorithms as a set of instructions that guide a computer to solve a problem, much like a recipe guiding you to bake a cake.

Machine learning, a subset of AI encompasses deep learning as one of its own subsets. These subsets represent different methodologies through which a computer system can learn from data to solve problems.

Within these, there are different learning methods like supervised learning, unsupervised learning and reinforcement learning, and each one of these methods

uses a specific set of instructions, or algorithms, which guides the computer on how to solve a problem. And depending on the problem, the algorithm might be quite different.

There are a few main types of these algorithms. Imagine you are sifting through your emails.

Some are important, others... not so much.

How does your email service know which ones to put in your inbox and which ones to label as spam?

That is the work of a type of algorithm called classification. It is like a detective, sorting each email into spam or not spam.

Now, let’s say you are house hunting. Ever wondered how real estate websites predict the price of a house?

They use a type of algorithm called regression. It is like a fortune teller, predicting the future based on information like size, location, and other factors.

Ever noticed how your favourite music app always knows just the right song to recommend?

That is clustering at work. It is like a party planner, grouping together songs you like so it can suggest similar ones.

And when you are hungry and waiting for your food delivery, an optimisation algorithm is finding the quickest route to get your food to you.

It is like a navigator, always searching for the best solution.

Data scientists use these and other types of algorithms to make sense of the world around us.

They are like the secret superheroes of the digital age, using their powers to make our lives easier and more convenient.

And the best part? These algorithms are getting more advanced every day, learning from the vast amounts of data we generate.

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AI algorithms are the backbone of many technologies we use today, powering household items like smart watches and smart thermostats. These algorithms enable machines to perform tasks that typically require human intelligence by analysing data and learning from patterns. AI algorithms are crucial for the functioning and advancement of machine learning, deep learning, and NLP technologies.