From the course: No-Code AI: Harness the Power of AI without Programming
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Three steps to build a computer vision model
From the course: No-Code AI: Harness the Power of AI without Programming
Three steps to build a computer vision model
- [Instructor] So you've planned out what business problem you're going to solve, decided it's a predictive problem that requires an AI, and written down the data that you have. That's the first milestone. And I would argue, this is the most important. If you don't spend the time to think deeply about what you know and the business acumen you bring, it doesn't matter how nice your AI model will be. So you've spent the time to do the first three steps. And now we need to move on to the next steps of building the AI model. Step 4 is to collect the data required to train the model. All AI is trained with data. The same is true of no-code AI. So the first step to solving a problem with AI is to collect the data required to train the AI. This is where you will collect the actual data and collect a variety of data in huge volume from all possible sources. Step 5 is to organize the data. This is a critical step to get ready…
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