From the course: Build an AI Application with React and AWS SageMaker
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Introduction to SageMaker Data Wrangler
From the course: Build an AI Application with React and AWS SageMaker
Introduction to SageMaker Data Wrangler
- [Instructor] When you do machine learning for the first time, it can be daunting. And with SageMaker Studio, it'll make the experience of creating your first model, a nice transition into the world of AI. So, let's start by exploring the interface we'll play with over this course. So let's start at the top left and in the middle you have roughly the same things. You can start an instance of any of these applications. For example, JupyterLab, which you also have here. It's an integrated application that allows users to create and manage Jupyter Notebooks, which are essential for running code, visualizing data, and documenting the machine learning process. Then, you have RStudio. This is for users who prefer R over Python. It's available for statistical computing and graphics. Then you have Canvas, which we're going to use today for example, for Data Wrangler. Canvas is a visual no code tool to build machine learning models by dragging and dropping datasets, components, and analysis…
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