From the course: Digital Transformation Foundations
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Machine learning and generative AI
From the course: Digital Transformation Foundations
Machine learning and generative AI
- [Instructor] All incremental value from a digital transformation comes from transforming its data into useful information. We've discussed collecting internal data with IOT and external data with external systems APIs. We've discussed the digital twin and how it's made up of the AI model and application. Now, let's get into the transforming part by zooming into the AI model. There are lots of types of AI models, but the most relevant for us are machine learning and neural networks. Let's start with machine learning. Machine learning, or ML, combines age-old statistic techniques with learning software. Most of us know what statistics is. For example, we can use a linear regression in Excel to find a line through our data points in the form of y = mX + b, but linear regression is also considered a supervised machine learning algorithm. What gives? Well, it's both. If it's a static one-time event, it's statistics. If you're training a model with one dataset to be used to make…
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