Production Machine Learning Systems

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Production Machine Learning Systems

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago
Skills: ML Pipelines90%

Key Takeaways

Builds high-performing machine learning systems in production environments

Original Description

In this course, we dive into the components and best practices of building high-performing ML systems in production environments. We cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed TensorFlow, and TPUs. This course is devoted to exploring the characteristics that make for a good ML system beyond its ability to make good predictions.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting with a simple code tweak and understand the difference between Ridge and Lasso regression
Medium · AI
 ⚡
Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting in machine learning models with a simple code tweak and understand the difference between Ridge and Lasso regression
Medium · Machine Learning
 ⚡
Stop Overfitting With Basically One Line of Code
Prevent overfitting in models with a simple code tweak, understanding the difference between Ridge and Lasso regression
Medium · Data Science
 ⚡
Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting in machine learning models with a simple code tweak, comparing Ridge and Lasso regression techniques
Medium · Python
Up next
Learn Deep Learning by Hand (Beginner's Guide - Part 1)
Thu Vu
Watch →