Improving Code Quality for Data Scientists

Have you ever felt limited by your code while performing data science
analysis or building a model? One valuable trick to improving your code skills is to focus on writing clean code. Hope will present on what it means to write clean code specifically for Data Science scripts and machine learning applications. Walk away with tips to help you write code faster, update your code seamlessly, and increase the readability of your code.

About the speaker:

Hope McIntyre is a Senior Data Scientist at Storyblocks, a stock media
company selling millions of stock photos, videos, and audio clips through an industry-disrupting subscription model and digital platform. She specializes in text mining, image recognition, and machine learning, working on the company's Data Science and Search team. She has a Master's of Data Science from the University of Virginia and a degree in Engineering from Dartmouth College. Hope has presented at conferences on a wide-range of data science topics including computational linguistics, data ethics, and data visualization.

This talk is sponsored by Storyblocks. Food and beverages will be provided.