Today in @stats285: Exploratory Data Analysis, Painlessly - XY Han will demonstrate the usefulness of @Tableau for interactive analysis of experimental results
This week in STATS 285: Dr. Alon Kipnis explains why @Kedro is a useful tool for managing your data science experiment and how to combine @Kedro with the XYZ-@clusterjob workflow.
Today in @stats285: Papyan Vardan will talk on the "nuts and bolts of XYZ experiments": How to organize code so that it is compatible with the XYZ paradigm, run it using @clusterjob on Stanford’s Sherlock cluster or on the cloud, and visualize the obtained results in @tableau
This Monday, 3:00-4:20 PM, Math building 380-380W, Percy Liang from Stanford CS will talk about "CodaLab: A Platform for Efficient Collaborative Research". For more information: https://t.co/XXyzG4cPzr
Riccardo Murri, one of the main developers of #ElastiCluster says that ‘data management’ is the current challenge in experimental science. See his full lecture notes at https://t.co/SBt5y3yIGe
@XiaoLiMeng1, the editor in chief of Harvard Data Science Review #HDSR thinks #DeepLearning without deep understanding can be troublesome. Follow @stats385 as scientists from a variety of backgrounds and schools collectively attempt to gain a deeper understanding of deep nets.
A waking-up reflection: Deep learning without deep understanding may get us into deep trouble.
(Re)Introducing HDSR, starting from the summary:
Data Science: An Artificial Ecosystem
https://t.co/ZPnZQ4YTDF
Stanford Data Science Institute (formerly SDS initiative) is accepting applications for our second cohort of Data Science Scholars! Letters of Intent due 23 September 2019: https://t.co/sC4iun1qek
#DataScience#Stanford#DeepLearning#MCEP@stats285@stats385