Design Principles for Machine Learning Framework
Offered By: Pluralsight
Course Description
Overview
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.
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.
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.
Taught by
Abdul Rehman Yousaf
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