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The Hard Part of Machine Learning with Lynn Langit
Jun 26, 2024
Expert Lynn Langit discusses the challenges of using machine learning to improve patient outcomes at Mayo Clinic. She highlights the complexities of multi-modal data analytics, testing machine learning models, and the importance of focusing on fundamentals before advanced goals. The conversation explores practical applications in bioinformatics, statistical tests for machine learning, and the impact of new technologies like Gemini in Google Cloud on productivity and collaboration.
35:08
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Quick takeaways
- Challenges of multi-modal data analytics include integrating diverse patient data for comprehensive treatment evaluation.
- Practical machine learning success relies on mastering fundamentals before advancing to complex tasks.
Deep dives
Lynn Langit's Versatility Across Cloud Platforms
Lynn Langit, a noted cloud architect working with GCP, AWS, and Azure, is known for her technical expertise and customer-centric approach. Her recognition as a Google developer expert in cloud and AI, an AWS community hero for data, and a Microsoft regional director underscores her agnostic stance, prioritizing serving customers across diverse platforms for optimal solutions.
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Discover
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