From the course: Build an AI Application with React and AWS SageMaker
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Overview of algorithms and the training process
From the course: Build an AI Application with React and AWS SageMaker
Overview of algorithms and the training process
- [Instructor] Before we move on to train our model, and especially with the fact we'll leverage Autopilot to do most of the legwork for us, you need to understand what is happening. So the process of training the model follows a few steps, which lucky for us, SageMaker will do, but here are the steps and what's happening. First, there's an algorithm selection. An appropriate ML algorithm is chosen based on the problem type, and we'll explore the most popular ones in a minute. Then there's model building. The selected algorithm is applied to the prepared data to build the model. This step includes configuring the algorithm with initial parameters, what we call hyperparameters. Then the model training is happening. During the training, the algorithm makes predictions on the training data over and over and over, and is corrected by a learning algorithm based on the difference between the predicted and actual results. Hyperparameter tuning, this is the process of adjusting the…
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