The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Data Science on AWS with Chris Fregly and Antje Barth - #490
Jun 7, 2021
Joining the conversation are Chris Fregly, Principal Developer Advocate at AWS and co-author of 'Data Science on AWS,' and Antje Barth, Senior Developer Advocate and co-author as well. They dive into their new book, revealing strategies for reducing costs and improving performance in data science projects. The duo also discusses their Practical Data Science Specialization on Coursera, community-building initiatives, and innovative approaches like multi-armed bandit strategies for model optimization. Insights from the recent ML Summit showcase advancements in making AI more accessible.
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Episode notes
Chris's ML Journey
- Chris Fregly caught the machine learning bug while working at Netflix, where ML is used extensively.
- His first day involved deploying code on an EC2 instance, an experience he found enjoyable.
Advanced Meetup
- Chris Fregly started the Advanced TensorFlow and Spark meetup to provide in-depth knowledge beyond basic documentation.
- He initially led the first eight or nine meetups himself due to his extensive Spark knowledge.
Choose the Right Tool
- Consider the different ways to achieve the same goal in machine learning.
- Sometimes, simpler solutions like pre-trained models or pre-built algorithms can be more effective than complex custom models.
