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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-deployment-for-professionals/
课程评论:没有评论
**课程名称:Machine Learning Deployment For Professionals(专业人士的机器学习部署)** **课程概述:** 本课程面向希望掌握机器学习模型部署技能的专业人士。您将学习构建机器学习流水线和机器学习开发部署生命周期的基础理论和相关主题。课程还将深入探讨如何实施一个机器学习项目,包括在测试后加载数据进行评估。 **主要学习内容:** * 机器学习在生产环境中的应用介绍 * 机器学习与数据生命周期 * 机器学习流水线 * 部署机器学习解决方案 * MLOps 基础知识 * 模型部署的挑战及应对策略 **课程重点:** 本课程全面介绍了机器学习模型在生产环境中的各个方面,包括部署的前提条件、流水线构建、部署过程中面临的挑战以及不同的部署方法。最后,课程将涵盖多种机器学习部署解决方案,如 Web 服务、批量预测和嵌入式模型。本课程旨在教授所有机器学习专业人士必备的、需求旺盛的技能。 **课程优势:** * 内容结构清晰 * 由行业专家授课 * 学习领先的机器学习工具和技术 **立即报名,更新您所需的最新机器学习技能!**
Want To Master The Skills Behind The Machine Learning Deployment?This program is designed for the ones who want to learn the art of machine learning model deployment. Through this program, you'll learn the foundational theories and topics that help to construct machine learning pipelines and machine learning development and deployment lifecycles. Get in-depth knowledge on how to implement a machine learning project to load the data for the evaluation process after testing.This program includes the must-learn machine learning model deployment patterns like the MlOPS foundation. Also, learn the challenges that you can face with model deployment and mitigation techniques to follow.Major Concepts That You'll Learn!Introduction to machine learning in productionML and Data lifecycleML PipelineDeploying ML solutionsThis course aims to introduce different aspects of production in the Machine Learning models. It covers pre-requisites of ML deployment, ML Pipelines, challenges involved in the deployment process, and different methods of ML deployment. Finally, the course covers ML deployment solutions such as web service, batch prediction, and embedded models. This program includes all in-demand skills that any machine learning professional should learn.Perks Of Availing This Program!Get Well-Structured ContentLearn From Industry ExpertsLearn Trending Machine Learning Tool & TechnologiesSo why are you waiting? Get yourself updated with the latest and in-demand machine learning skills.