Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Pluralsight

Design Principles for Machine Learning Framework

via Pluralsight

This course may be unavailable.

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.

Taught by

Abdul Rehman Yousaf

Reviews

4.3 rating at Pluralsight based on 17 ratings

Start your review of Design Principles for Machine Learning Framework

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.