From climate change to poverty elimination and COVID-19, humankind has been seeking new solutions to old but persistent problems. Artificial intelligence, while not a silver bullet, could contribute to tackling some of the world’s most challenging social, humanitarian and environmental challenges.
For this talk, we are happy to invite Galina Naydenova, Lead Machine Learning Engineer at Omdena, who will cover some applications of AI for social good and introduce resources for the aspiring data scientists interested in socially responsible contributions.
Key points:
✔️ What is AI for Social Good
✔️ How to be involved in AI for Social Good
✔️ The Omdena collaborative platform: Project types, partners and AI technologies, examples of project work, collaborator benefits, how to apply
✔️ How to use collaborative project work for your Data Science career
✔️ Q & A
🚀About Omdena 🚀
Omdena is a collaborative platform and social enterprise where a global community of changemakers builds innovative and ethical AI solutions to real-world problems. Our platform enables end-to-end AI development where organizations submit a problem, which is then addressed by up to 60 AI experts, data scientists, and domain experts.
🚀About Le Wagon Tokyo 🚀
Le Wagon Tokyo (https://www.lewagon.com/tokyo) is a top ranked coding school for startups, creative people and tech entrepreneurs.
Our Web Development and Data Science bootcamps are designed for individuals who want to change their career, become freelancer, or launch their own venture!
Our next bootcamps will start:
🚶♂️September 25th for our 24-week part-time Web Development and Data Science programs
🏃♀️ October 4th for our 9-week full-time Web Development and Data Science programs
Applications are already open!
Checkout enrollment details, curriculum, Career Week support and more 👉 https://www.lewagon.com/tokyo
Le Wagon is a coding school for startups, creative people and tech entrepreneurs. Our 9-week Full-Stack Coding Bootcamp is designed for complete beginners or "half-beginners" who really want to ...
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