Channel: PyData

Category: Science & Technology

Tags: pythonlearn to codeeducationsoftwarepydatalearncodinghow to programjuliaopensourcescientific programmingnumfocuspython 3tutorial

Description: Presenter: Gus Cavanaugh Title: Scale PyData To Clusters & GPUs with Dask Presentation Overview: It's common for Python users to end up with more data than can fit on their laptop. Sampling is great, but sometimes you need to process everything. In the past, python users didn't have much choice beyond Spark, but that isn't the case anymore. This talk is an introduction to Dask. You'll learn how to scale PyData code from a laptop to a cluster and back. We'll include some fun examples focused on finance and GPUs Bio: Gus is a recovering consultant that fled to software development five years ago. He recently reunited with former Anaconda colleagues at Coiled, where they provide software and support for commercial and community users of Dask. Presenter: Gordon Hart Title: Test-Centric ML Model Development Presentation Overview: Current ML model evaluation techniques are falling short. Model evaluation using only global metrics like accuracy or F1 score produces a low-resolution picture of model performance and fails to describe performance across types of cases, attributes, and scenarios. It is rapidly becoming vital for production ML teams to have a full understanding of when and how their models fail and to track these behaviors across different model versions to be able to identify regressions. We’ve seen great results from teams implementing unit and functional testing techniques in their model testing. In this talk, we’ll cover why systematic unit testing is important and how to effectively test ML system behavior. Bio: After being burned one too many times by unexpected mission-critical model performance in production, Gordon co-founded Kolena to build an ML testing and evaluation platform to tell you what you need to know before your model hits the real world. pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: github.com/numfocus/YouTubeVideoTimestamps