Design Principles for Machine Learning Framework

Focused View

Chris Behrens

1:23:46

42 View

01. Course Overview

01. Course Overview.mp4

01:39

02. Introducing Machine Learning Operations

02. Overview.mp4

01:24

03. What Is MLOps.mp4

02:50

04. Why Does MLOps Really Matter.mp4

02:54

05. Exploring Important Design Principles for MLOps.mp4

04:09

06. Life Cycle of a Machine Learning Project.mp4

06:24

07. Summary.mp4

01:02

03. Designing Data Pipelines for Scalability and Optimizations

08. Overview.mp4

00:41

09. Introducing Machine Learning Pipelines.mp4

01:43

10. Why Machine Learning Pipelines Are Important.mp4

03:02

11. Steps Involved to Create a Data Pipeline.mp4

03:15

12. Architect Scalable Data Pipelines.mp4

17:13

13. Best Practices for Optimized ML Systems.mp4

05:40

14. Case Study 1-Machine Learning Pipeline for Virtual Material Testing.mp4

10:35

15. Summary.mp4

01:31

04. Evaluating the Performance of a Machine Learning System

16. Overview.mp4

00:46

17. What Does Performance Evaluation Really Mean.mp4

01:36

18. Understand Low Latency and High Throughput.mp4

04:57

19. Debugging and Fault Tolerance in ML System.mp4

08:19

20. Task Scheduling and Executions in ML Pipelines.mp4

03:07

21. Summary.mp4

00:59

Description

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.

What You'll Learn?

Design patterns capture best practices and solutions to common problems. In this course, Design Principles for Machine Learning Framework, you’ll learn to implement scalable data pipelines for machine learning systems. First, you’ll explore guiding principles for machine learning operations. Next, you’ll discover why you should use data pipelines to process incoming data in real-time. Finally, you'll learn how to evaluate the performance of a machine learning system. When you’re finished with this course, you’ll have the skills and knowledge of machine learning operations needed to orchestrate a scalable and powerful system.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Chris Behrens

Instructor's Courses

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.