Tom Augspurger: Scalable Machine Learning with Dask | PyData New York 2019

Python has a great ecosystem for machine learning, especially on relatively small datasets processed on a single machine. We'll use Dask to scale libraries like NumPy, pandas, and scikit-learn to larger datasets and larger problems. We'll see that problems can be compute- or memory-bound (or both). We'll see strategies for dealing with these, using a cluster to parallelize our computation. www.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: https://github.com/numfocus/YouTubeVi...