Dear all,
I am pleased to announce that the schedule for DataTech19 (Edinburgh, 14
March) is now available: https://www.datafest.global/datatechagenda
DataTech19 aims to bring together members of industry, academia and the
public sector to discuss important topics in data science, share
technical expertise, and engage in networking and collaboration. Tickets
will go up in price from *1 March* - so if supercomputing, deep
learning, data visualisation and test-driven data analysis are topics
that interest you, please be sure to register here:
https://www.datafest.global/data-tech*
*
As a reminder, our keynote speakers are: *
*
* *Debbie Bard*, expert in machine learning at scale and
data-intensive computing for experimental science, from the National
Energy Research Scientific Computing Center (NERSC). Debbie will be
discussing "_Supercomputing and the scientist: How HPC and
large-scale data analytics are transforming experimental science_".
* *Mine Çetinkaya-Rundel*, Associate Professor of the Practice, Duke
University, and Data Scientist + Professional Educator, RStudio.
Mine's talk will focus on data workflows and reproducibility,
explaining how to avoid situations where "_The results in Table 1
don’t seem to correspond to those in Figure 2_".
* *Jared Lander*, Chief Data Scientist of Lander Analytics and Adjunct
Professor of Statistics at Columbia University. Jared will discuss
the relationship between statistics, machine learning and AI, in his
talk: "_Making Sense of AI, ML and Data Science_".
Many more speakers and topics will be featured on the day, the details
of which can be found here: https://www.datafest.global/data-tech
<https://www.datafest.global/data-tech>
If you have questions, please get in touch at: [log in to unmask]
<mailto:[log in to unmask]>
Kind regards,
Caterina Constantinescu
--
Dr. Caterina Constantinescu
Data Scientist
*The Data Lab* <https://www.thedatalab.com>
Bayes Centre, 47 Potterrow Edinburgh, EH8 9BT
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