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Data Science Community Newsletter | May

By Christina Howell posted Thu May 07, 2020 12:09 PM

IBM Data Science Community Newsletter
May 2020 | Volume 2, Issue 5  |  Subscribe

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Responsible Data Science in the Fight Against COVID-19 & More
If you're interested in getting involved or helping during this pandemic, there are things you need to think carefully about. If you don't want to have to live with the unintended consequences of spreading misinformation, you need to be certain of how your communications are connected to applicable domain knowledge. Sam Charrington met with a panel of experts on his TWIML podcast to talk about responsible data science in the fight against the current pandemic.
AI Skills

Things You Should Know about Databases
Data scientists spend a lot of time interacting with data, and therefore probably databases. This article extracts essential topics you need to know about data stores and makes them consumable. Read more

Free Training to Update Skills: IBM Training & Skills Blog
The IBM Training & Skills organization has published a list of free online training courses. The list includes Professional Skills, and technical skills. Docker containers, Watson Studio, and IBM Cloud are just a few examples. Read more

Springer Has Released 65 Machine Learning and Data Books for Free
Everyone is stuck at home and looking for new things to read. The good news is that Springer publishing has given everyone free access to a cache of useful books. Read more

Get 'Career Ready' for the Economic Recovery on the Horizon
It may be tough to see beyond the pandemic, but tomorrow will be positively impacted by the struggles we're facing today. Whether it's how your company supports you, the way you work with others, or your expanded career opportunities, the learning we do today will improve the years to come. Read more

Tools & Libraries

Explaining "Blackbox" ML Models — Practical Application of SHAP
Explainability in ML models is essential for making their predictions impactful. Blackbox models make that process difficult, but here is a brief primer on using SHAP. Read more

Solutions & Products

Do you wish you could see how every single node in a neural net evaluates features in an image? The Circuits collaboration tries to understand each node and the connections between them. Read more


NLP Pipeline for Detecting and Wasting Email Scammers' Time
Researchers have recently developed, with DoD funding, a system to automatically get back at scammers. Check out Mike Mansour's thought on the research paper and creative applications of NLP. Read more
See all upcoming community events here.

May 8, 9:30–10:30 am PT | Online Meetup
Learn about the different kinds of AutoML techniques that are currently used, the capabilities and limitations of AutoML in the near-term, as well as research efforts in progress and available open source libraries.

May 12, 11 am–12:30 pm PT | Virtual Meetup
In this session, attendees will be introduced to transformers, a modeling architecture that is changing the Natural Language Processing (NLP) field.

May 20, 11–11:30 am PT | Live Webinar
This webinar will show how deep learning can be used to help align developers and data scientists to a particular framework.

It was great to see so many of you participating actively in the hands-on labs, scheduling time with our experts, and engaging with instructors and leadership speakers. If you want to take a lab you missed or share this education opportunity with others, Learn AI will be available until July 15.

With an aim to foster learning and innovation amid the COVID-19 crisis, IBM's Data Science Elite Team launched Chat With The Lab. This weekly webcast invites various guests to cover curated topics around industry use-cases, data science best practices and your AI journey, committed to helping data scientists thrive in this unprecedented time. Register and learn more