Now that you have decided on your use-case and have prepared and cleaned up your data, you can now move to building and scaling your AI models. Before we begin, let's first understand what AI models are. Imagine a processor where you can insert or add some material, and after it's done processing, it transforms the input into something else. Yet, when you try to look inside to see how it's done, it is extremely complex and quite ambiguous. AI models work in a similar way. They function more or less like functions that take in input and give you an output. The amazing thing about these models is that they can be taught to give you the kind of output you need without really understanding or focusing on how they do it. If you decide to build your AI model, there are a few things you would have to understand. There are many different types of models. Some models do prediction, others do classification, and each is suitable for different use cases. You may build a model from sc...
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