Machine Learning Engineering Case Studies with Python notebook

作者：禅与计算机程序设计艺术

1.简介

Machine learning engineering (MLE) is the process of developing machine learning systems that can perform tasks with high accuracy and efficiency at scale. MLE involves designing, building, testing, deploying, monitoring, and maintaining machine learning models, as well as building infrastructure for running them efficiently. The purpose of this article is to provide a practical guide on how to develop an efficient and effective MLE system using Python notebooks. We will go through various case studies, covering different aspects of ML Engineering including data preprocessing, model development, deployment, optimization, and monitoring. In each section, we will also demonstrate the implementation in Python notebook form.
The goal is to help readers understand the fundamental principles behind machine learning engineering, gain practical insights into the various steps involved, and build confidence in their ability t

来源地址：https://blog.csdn.net/universsky2015/article/details/132126732