Mastering System Design Interview: A Crash Course
Ask Author
Back to course home

0% completed

Machine Learning System Design
Table of Contents

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

Machine Learning (ML) system design involves creating systems capable of learning from data, making predictions, or taking actions based on those predictions. These systems are integral to various applications, including recommendation engines, predictive analytics, autonomous vehicles, and more. Let's explore the key components of an ML system, their primary purposes, and how they interact with other components.

Key Components of Machine Learning Systems

  1. Data Collection and Ingestion

.....

.....

.....

Like the course? Get enrolled and start learning!

Table of Contents

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible