First things first: what exactly an “intelligent system” is. It’s not some sort of sentient robot that can take over the world (yet), but rather a computer program designed to mimic human-like intelligence and decision making abilities. And don’t worry, you don’t need a PhD in neuroscience or a degree in quantum physics to build one!

So how do we get started? Well, first things first: data. Data is the lifeblood of any intelligent system without it, there’s nothing for our program to learn from and make decisions based on. So where can you find this magical data? The answer is simple: everywhere! From social media posts to news articles, there’s a wealth of information out there just waiting to be analyzed by your very own AI creation.

Now that we have some data in hand (or rather, in our computer), it’s time to teach our program how to learn from it. This is where machine learning comes into play the process of teaching computers to learn and make decisions based on patterns they find within their training data. There are many different types of machine learning algorithms out there, but for beginners we recommend starting with a simple one like linear regression or logistic regression.

But wait, you might be thinking: how do I actually implement these algorithms in my program? Well, that’s where programming languages come into play! There are many different options to choose from depending on your skill level and preferences some popular ones for beginners include Python (our personal favorite), R, and MATLAB.

Of course, this is just scratching the surface there’s so much more to learn about AI and machine learning that we could fill an entire book (or several) with all the details. But for now, let’s focus on getting started and having some fun along the way!

Later!