From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications

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Create a knowledge base

Create a knowledge base - Google Cloud Tutorial

From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications

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Create a knowledge base

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- So how do we build knowledge models? Well, we have to go through several building blocks. First is the ability to react to experience, so keep in mind that artificially intelligent systems, specifically machine learning based systems, are able to react to stimulus, able to react to data, able to react to an understanding of the data. Also, the ability to store outcomes or experiences someplace so we can leverage them within the business systems. Then, more importantly, the ability to find patterns, the ability to look at massive amounts of information such as images, structured data, and unstructured data, and determine learning patterns out of that data. Then, also the ability to input data, and then the cycle restarts, so ultimately this is about something that's iterative. We're able to input data, we're able to react to the experience, we're able to persist it someplace, and we're able to locate certain…

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