Feb
2018
Women in data science
Women in data science conference
Organiser: Fatima Batool (The Alan Turing Institute and WiDS Ambassador)
Date: 6 April 2018
Venue: The Alan Turing Institute
The Stanford Women in Data Science conference (WiDS) is a one day global conference that will bring data scientists together to share cutting edge research. The conference aim is to inspire and encourage data scientists worldwide and exclusively support women in the field.
We will proudly host WiDS at The Alan Turing Institute. The conference will feature eminent female speakers through technical talks, lunchtime discussions on data science (topics to be announced shortly), a panel discussion and networking event.
The conference programme and speaker information will be soon available through the conference website. The event will be available worldwide via live streaming and the conference talks will be broadcast online.
The event will provide great opportunities to connect with potential mentors, collaborators and peers; hear about recent advancements in data science and explore new research dimensions.
Speakers:
Cecilia Lindgren
Mihaela van der Schaar
Jil Matheson
Codina Cotar
Emma McCoy
Cecilia Mascolo
Kathy Whaler
Mariana Damova
We welcome all regardless of gender to join us on Friday 6 April 2018 for an excellent learning experience.
For more information email: events@turing.ac.uk
darsh bhatt
June 13, 2022 at 10:58 am (3 years ago)Data preparation include cleansing, aggregating, and modifying data in order to prepare it for several sorts of processing. Analysis necessitates the creation and use of algorithms, analytics, and AI models. It is powered by software that sifts through data in search of patterns and then converts those patterns into predictions to help organisations make better decisions. The correctness of these forecasts must be verified by planned and executed tests and experiments. In addition, the findings should be widely disseminated via the effective use of data visualisation technologies that allow anybody to see patterns and trends.
Source : Data Science Course In Pune