Super Data Science: ML & AI Podcast with Jon Krohn 671: Cloud Machine Learning
Apr 18, 2023
Kirill Eremenko and Hadelin de Ponteves discuss the importance of learning cloud computing for data scientists, essential AWS services, database options, running analytics, and the benefits of AWS certification on the podcast.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10
Intro
00:00 • 5min
Transition to Cloud Expertise and Introduction of Cloudwolf.com Platform
04:37 • 3min
Exploring Cloud Wolf Symbolism and Benefits of Cloud Computing for Data Scientists
07:30 • 4min
Utilizing Cloud Resources for Advanced Machine Learning Models
11:35 • 9min
Importance of Cloud Infrastructure for Machine Learning Models
20:49 • 10min
Exploring Amazon S3 Storage Service
30:34 • 3min
AWS Databases, Redshift, and Machine Learning Models in SageMaker
33:54 • 14min
Exploring SageMaker, AWS ML Tools, and Upcoming Course
48:21 • 4min
Introduction of Cloudwolf .com Platform and AWS Certification Course
52:15 • 8min
Exploring Cloud Machine Learning Platforms
01:00:03 • 3min