

AI competitions & cloud resources
Dec 7, 2022
Matthew Lanham, Academic Director at Purdue University, and Mark Tabladillo, a Cloud Architect at Microsoft, dive into the exciting world of AI competitions. They discuss how over 170 student teams tackled image captioning in multiple languages, showcasing their innovative strategies. The duo emphasizes the evolving role of cloud resources in data science and the educational impact of these competitions. They also explore the challenges of diverse linguistic datasets and how AI can help preserve cultural heritage while promoting business innovation.
AI Snips
Chapters
Books
Transcript
Episode notes
Laptop RAM Upgrade
- Students initially tried increasing their laptop's RAM to handle the image captioning task.
- They realized cloud services were necessary for such large-scale problems.
Cloud Learning Resources
- Leverage free online resources like YouTube and Microsoft's learning platforms.
- Hands-on experience is crucial; try free Azure subscriptions and practice exams.
Azure Resources
- Explore Azure Machine Learning Studio for building and deploying models on CPUs or GPUs.
- Utilize cognitive services, pre-trained REST APIs, for specific tasks like computer vision.