In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow
I did not realize the many aspects to consider implementing a Production ML system. This course presents all of them and provides guidance for evaluating alternative
Rich course, although a little tedious, the info is priceless almost all the time. good for consultation
In this module, you will learn how to identify performance considerations for machine learning models.
Machine learning models are not all identical. For some models, you will be focused on improving I/O performance, and on others, you will be focused on squeezing out more computational speed.