How to Build Successful Career in AI/ML
In this roundtable, we will hear different opinions on what would be the best way to build a career in data science. From taking part in Kaggle competitions to Hackathons, there are many paths that can take you to success.
Shana Matthews
Senior Program Manager, Microsoft
Locksley Kolakowski
Data Science Intern, Zeitworks
Syed Farhan Ahmad
Microsoft Gold Student Ambassador | Quantum & AI Research Intern, IBM
Ayon Roy
Data Science Intern at Lulu International Exchange
Annanya Vedala
Gold Microsoft Learn Student Ambassador
Other sessions from: Global AI Student Conference
Anyone can AI with Azure Custom Vision
In this talk, we'll cover the basics of Azure's Custom Vision service....
Locksley Kolakowski
Build a quiz generator from your notes
A demonstration on how to create a quiz generator which takes the pictures...
Rama Soumya Naraparaju
What is AI, and Why We Care
In this session, we will give a brief overview of the area of Artificial In...
Dmitry Soshnikov
Amy Boyd
How to protect the oceans with AI and Open Source?
Surfrider Foundation Europe NGO has become a reference in the fight for the...
Christopher Maneu
Help! I can't find what I need.
We live in a world full of unstructured data, with data that is not easy to...
Sammy Deprez
Talk and Demo on Sound Identification and Classification with Tensorflow and Librosa
I aspire to conduct an interactive and implementation based workshop on the...
Raghav Rawat