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Data & Algorithms
Artificial Intelligence(AI) is like a smart machine that learns from experience using special rules called algorithms. These rules help AI analyze different types of data to find patterns and make predictions. Imagine AI as a student studying many books to get good at a game. It also learns from mistakes and can understand languages and pictures. AI combines all these skills to act smart, like playing games or driving cars on its own.
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Analyzing Data
Artificial Intelligence is like a super smart computer that can help us understand data better. It has special tools and tricks to look at data and find important things in it. One trick it uses is called "automated data filling." If some data is missing, AI can guess what the missing values could be and fill them in, so we have a complete picture.
There are also AI tools, like Julius AI and Bardeen AI, that can look at charts and graphs made from data. They help us understand the information in the charts and find patterns we might not see on our own. It's like having a really smart friend who can explain things to us.
AI analytics is part of business intelligence, which means it helps businesses make smart decisions. It uses machine learning, which is a type of AI, to find hidden secrets and new patterns in big sets of data. This helps professionals get important information from lots of complicated data quickly.
By using AI tools, people can make sense of big and complicated data sets. This helps them make better decisions and come up with new ideas in different industries. AI is like a helpful assistant that makes data easier to understand and helps us use it to make things better.
Neural Networks
Neural networks are like super brains for AI! They work kind of like our own brains but way more powerful. They have lots of little parts called nodes that work together to understand and analyze data.
When we want computers to learn how to do something, we use neural networks. They learn by looking at examples and figuring out patterns. It's like when we learn to ride a bike by practicing and watching others.
Neural networks have layers of nodes, and each layer has a special job to do. They work together, passing information from one layer to the next. These networks are really important for AI because they can do difficult things like recognising images, understanding language, and predicting things. They help AI systems learn and adapt to different situations, just like how we learn and get better at things over time.
So, neural networks are like super smart brains in AI that help computers understand data and learn new things. They make AI really powerful and can do amazing things!
Here is a diagram of a neural network.
Image source: Geeks for Geeks (link)
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