Dive into the essentials of ML model development, processes, and techniques to combat underfitting and overfitting, explore distributed training approaches, and understand model explainability. Enhance your skills with practical insights from a seasoned expert.
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What We Will Discuss:
๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น ๐๐ฑ๐ฑ๐ถ๐๐ถ๐ผ๐ป - Lightning Talk by Sam Huo: "AI and ML: Insights from a Software Architect." Dive into the practical applications and insights of AI and ML from an experienced software architectโs perspective.
Content Review by Dr. Ryan Rad:
How to prepare for this session?
To enhance your certification journey, we recommend completing the MLE Learning Path courses on Google Cloud Skills Boost.
06 Machine Learning in the Enterprise (link)
Northeastern University
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The University of British Columbia
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Autodesk Inc.
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British Columbia Institute of Technology
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