Agile Machine Learning with Jennifer Prendki - TWiML Talk #46
Published:Sep 5, 2017 15:01
•1 min read
•Practical AI
Analysis
This article is a summary of a podcast episode featuring Jennifer Prendki, a data science expert. The conversation covers her talk on "Data Mixology" and her experience building agile machine learning processes at Walmart. The focus is on practical applications of machine learning, including model measurement, management, and team building. The article highlights the importance of agile methodologies in the context of machine learning development and deployment, emphasizing the need for efficient processes and team structures.
Key Takeaways
- •The article discusses agile methodologies in machine learning.
- •It highlights the importance of model measurement and management in production.
- •The focus is on building efficient processes and teams for machine learning.
Reference
“My conversation with Jennifer begins with a recap of that talk. After that, we shift our focus to some of the practices she helped develop and implement at Walmart around the measurement and management of machine learning models in production, and more generally, building agile processes and teams for machine learning.”