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Data processing and Exploration Overview

In this module we discuss the need for data processing as part of our model development workflow. We will look at the importance of data wrangling, data cleaning and data preparation. As well as how we can explore data sets and gain insights using statistics and data visualizations. We’ll also cover some of the tools available to create these data processing flows and help in our data exploration.

Javier Torres

Developer Advocate

Javier Torres is a developer advocate and senior software engineer with IBM. He engages with customer and partner development teams to enable them on Cloud & Artificial Intelligence technologies. Prior to this role, he was a Solution Architect focusing on IBM Watson technologies. Javier has more than 15 years experience and holds a Masters degree in Computer Science. He is currently interested in topics related to machine learning, deep learning, information retrieval and learning new development languages/technologies. Outside of technology and work; Javier enjoys spending time with his wife and daughter, and being active outdoors.