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Using Machine Learning to Optimize COVID-19 Predictions

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The document outlines a presentation by Scott Black and Denny Lee on enhancing the IHME COVID-19 model through the development of a unified data lake. Their focus is on evaluating and improving the performance of the IHME models by comparing different versions and combining predictions with actual outcomes. Feedback from participants is encouraged to further refine the session's content.

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Using Machine Learning to Optimize COVID-19 Predictions
Improving IHME Covid Model Scott Black, Solution Architect, Databricks Denny Lee, Staff Developer Advocate, Databricks
Agenda Building a Unified COVID-19 Data Lake Denny Lee Improving IHME COVID-19 Predictions Scott Black
Scott Black Solution Architect at Databricks ▪ 10 Years Helping Organizations Getting Value From Their Data ▪ Deep RDBMS Experience In E-Commerce & Healthcare ▪ Contributed to Several Oracle Books
Denny Lee Staff Developer Advocate at Databricks Previously ▪ Senior Director of Data Science Engineering at Concur ▪ Principal Program Manager at at Microsoft ▪ Project Isotope (Azure HDInsight) ▪ SQLCAT DW/BI Lead
Building a COVID-19 Data Lake
Improving IHME COVID-19 Predictions
Feedback Your feedback is important to us. Don’t forget to rate and review the sessions.
Improving IHME Predictions ▪ Evaluate IHME Model Performance ▪ Compare Multiple Versions Of IHME Models To Visualization Their Performance ▪ Combine Predictions With Actual Outcomes ▪ Are New Version Improving ▪ Improve IHME Predictions ▪ Taking Actual Model Performance Attempt To Provide Better Prediction
Using Machine Learning to Optimize COVID-19 Predictions

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Using Machine Learning to Optimize COVID-19 Predictions

  • 2. Improving IHME Covid Model Scott Black, Solution Architect, Databricks Denny Lee, Staff Developer Advocate, Databricks
  • 3. Agenda Building a Unified COVID-19 Data Lake Denny Lee Improving IHME COVID-19 Predictions Scott Black
  • 4. Scott Black Solution Architect at Databricks ▪ 10 Years Helping Organizations Getting Value From Their Data ▪ Deep RDBMS Experience In E-Commerce & Healthcare ▪ Contributed to Several Oracle Books
  • 5. Denny Lee Staff Developer Advocate at Databricks Previously ▪ Senior Director of Data Science Engineering at Concur ▪ Principal Program Manager at at Microsoft ▪ Project Isotope (Azure HDInsight) ▪ SQLCAT DW/BI Lead
  • 8. Feedback Your feedback is important to us. Don’t forget to rate and review the sessions.
  • 9. Improving IHME Predictions ▪ Evaluate IHME Model Performance ▪ Compare Multiple Versions Of IHME Models To Visualization Their Performance ▪ Combine Predictions With Actual Outcomes ▪ Are New Version Improving ▪ Improve IHME Predictions ▪ Taking Actual Model Performance Attempt To Provide Better Prediction