Webinar “Introduction to scalable computing with Dask in Python (Continued)”

Topic: “Introduction to scalable computing with Dask in Python (Continued)”
Speaker: Jinhui Qin, SHARCNET

Webinar link: SN-Seminars Vidyo room

Continuing from where the previous webinar left off, this seminar will introduce Dask dataframe and Dask-ML. Dask dataframe is for scaling Pandas dataframes. It is helpful in situations where Pandas is needed but datasets do not fit into memory of a single machine. Machine learning applications usually involve heavy computations, Dask-ML has resources for parallel and distributed machine learning.

SHARCNET account is not required to attend the webinar. No registration is required.
Need help attending a webinar? See the SHARCNET Help Wiki.

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