Design Principles for Machine Learning Framework

سرفصل های دوره

This course will teach you the important design principles for machine learning. You will learn what data pipelines are, where to use them, and why.

01. Course Overview

01. Course Overview

02. Introducing Machine Learning Operations

02. Overview

03. What Is MLOps

04. Why Does MLOps Really Matter

05. Exploring Important Design Principles for MLOps

06. Life Cycle of a Machine Learning Project

07. Summary

03. Designing Data Pipelines for Scalability and Optimizations

08. Overview

09. Introducing Machine Learning Pipelines

10. Why Machine Learning Pipelines Are Important

11. Steps Involved to Create a Data Pipeline

12. Architect Scalable Data Pipelines

13. Best Practices for Optimized ML Systems

14. Case Study 1-Machine Learning Pipeline for Virtual Material Testing

15. Summary

04. Evaluating the Performance of a Machine Learning System

16. Overview

17. What Does Performance Evaluation Really Mean

18. Understand Low Latency and High Throughput

19. Debugging and Fault Tolerance in ML System

20. Task Scheduling and Executions in ML Pipelines

21. Summary

139,000 تومان

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تولید کننده: PluralSight