From the course: Debiasing AI Using Amazon SageMaker
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Machine learning process
From the course: Debiasing AI Using Amazon SageMaker
Machine learning process
- [Instructor] There are several standard steps in the machine learning process. Let's talk about each step in more detail. First, you have to find the data you need to train your model with. The data can be yours, like your customer data you've collected over time, or you can obtain the data from machine learning repositories, like the UC Irvine Machine Learning Repository, or from government entities that make data freely available. Once you have your data, typically, you need to clean and prepare it. An example of cleaning data would be taking a date field and splitting it out into month, day of the week, and year. In this case, it makes it easier to find patterns when the components of a date are split out. I cleaned all of the crime data myself using Excel before training the model. This part is the most time-consuming. Some companies outsource this step using a service like Amazon Mechanical Turk. Once the data is prepared, we train the model. This is the process where the…
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