July 2021 Open Data Science Community Recap

ODSC may stand for the Open Data Science Conference, but it also means the Open Data Science Community. Across the globe, the ODSC community represents all countries, industries, and interests – all in the name of data science and artificial intelligence. Each month, our community hosts events and webinars, writes blogs, and contributes in their own way. Here’s a recap of everything from the Open Data Science Community from July 2021.

Recent ODSC Webinars:

We had three Open Data Science Community webinars in July 2021 – all of which are available on-demand as well! Subscribe to the Ai+ training platform and watch them whenever you want.

Robots are coming – who needs a skill boost?

This webinar aims to build awareness of the impact of automation on work. Viewers will learn that: while no job is safe from automation, certain jobs are more at risk than others. For example, the automation impact varies with the seniority of the position or the given corporate function.

A Kaggle winning approach for converting chemical molecular images to Inchi string representations via deep learning methods

Automated recognition of optical chemical structures, with the help of machine learning, could speed up research and development. This webinar walked through the various high-level aspects of a team’s 7th place Gold medal-winning approach on Kaggle.

Data Literacy for Careers in AI

In this 90 minute tutorial, you will discover how to use data to take advantage of trends. You will learn how data experts predict and forecast possible outcomes, find hidden patterns, and identify opportunities for new products and services.

Upcoming ODSC Webinars:

Ai+ Certification Preview: August 3rd – At the webinar, we will be discussing ODSC’s current and upcoming certification programs, Machine Learning Certification, Fundamentals for Machine Learning, and Advanced Machine Learning Certification, and how they can be best utilized to achieve your career goals.

End-to-end machine learning on images: August 5th –  In this webinar, we will discuss how to employ a pipeline to solve a variety of image problems like classification, object detection, autoencoders, image generation, counting, and captioning.

“Chicken or the Egg” in MLOPs: The Case of the DIY Feature Store: August 11th – In this webinar, we will simulate this low-integration-cost process by building a feature-rich Feature Store for offline use using the ClearML Open Architecture Stack. 

State of the Art NLP in Healthcare & Working with German Radiology Reports: August 12th – Learn about patient risk prediction, cohort selection, clinical decision support, and how to achieve state-of-the-art accuracy & speed on common medical NLP tasks.

Enhancements to Milvus v2.0: August 25th – This webinar will focus on the enhancements to Milvus 2.0 which include feature updates, benchmark improvements, use cases, and so on.

AI Literacy for Careers in AI: August 21st – Whether you are looking to upskill or reskill in AI, this first session in a three-part series is a must-attend for anyone seriously looking at careers in AI.

Blogs from the Open Data Science Community

Anyone is welcome to write for our blog site, OpenDataScience.com. Every month, a number of data science enthusiasts will create original content for us. Learn more about writing for us here.

Top 5 Applications of Machine Learning in Healthcare: In this article, we are going to look at the top five applications of machine learning in healthcare and its potential in revolutionizing the industry.
The Rapid Evolution of the Canonical Stack for Machine Learning: The canonical stack for machine learning has evolved greatly in just six months. See its progress here and how you can implement it yourself.
Top 10 Reasons to Learn Data Science Online: Learning data science online is more tangible than ever, and you can start this in-demand career path today with ease.
Predicting the Myers-Briggs Type Indicator (MBTI) of Celebrities Based on Their Favorite Books: In this article, we will use MBTI to predict different celebrities’ personalities based on their suggestions for books.

How to Get involved with the Open Data Science Community Community

There are a number of ways that you can get involved with the ODSC community yourself:

Join the ODSC Global Slack channel and connect with data scientists from around the world.
Submit articles to our publication on Medium and get more eyes on your content.
Work with us as a media partner and get your brand’s name out there.
Tune into one of our webinars to learn about tools, languages, packages, and more – all from leading data scientists.
Volunteer for one of our events and network with the best data scientists around the world.
Become an event ambassador and promote the ODSC Community in your own way.

Upcoming ODSC Events

There’s no better way to engage with the data science community than through our events.

ODSC APAC: September 15th-16th – Virtual

ODSC West: November 16th-18th – Hybrid in-person/virtual

We also have a few Ai+ Live Training sessions coming up:

Bayesian Inference with PyMC: Allen Downey | Computer Science Professor | Olin College

Network Analysis Made Simple: Eric Ma | Sr Expert/Investigator | Novartis