What you would learn in Design Principles for Machine Learning Framework course?
Design patterns are a way to capture the best practices and solutions to the most common issues. You will learn how to build large-scale data pipelines to support machine learning systems through this class, Design Principles for Machine Learning Framework. In the beginning, you'll learn about the guiding guidelines for the machine learning operation. Then, you'll learn why it is essential to use data pipelines to process the incoming raw data at a rapid pace. In the final part, you'll be taught how to gauge the Performance of a machine-learning system. After you've completed this class, you'll possess the knowledge and skills of machine learning processes required to manage an efficient and scalable system.
Course Content:
Course Overview 2mins
Introducing Machine Learning Operations 18mins
Designing Data Pipelines for Scalability and Optimizations 45mins
Evaluating the Performance of a Machine Learning System 20mins
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