Machine Learning Essentials for Business and Technical Decision Makers

Machine Learning Essentials for Business and Technical Decision Makers

位教师：AWS Instructor

访问权限由 New York State Department of Labor 提供

1个模块

深入了解一个主题并学习基础知识。

13 条评论

初级等级

无需具备相关经验

1 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

13 条评论

初级等级

无需具备相关经验

1 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Understand the basics of machine learning to help evaluate the benefits and risks associated with adopting ML in various business cases.
Identify the data, time, and production requirements for a successful ML project.
Describe how to adapt an organization to achieve and sustain success using ML.

您将获得的技能

AI Enablement
Business Analytics
Data-Driven Decision-Making
Solution Design
Feasibility Studies
Organizational Strategy
Training Programs
Organizational Change
MLOps (Machine Learning Operations)
Business Solutions
Machine Learning
Artificial Intelligence and Machine Learning (AI/ML)
AI Product Strategy
Product Roadmaps
Technology Roadmaps
System Requirements
Applied Machine Learning
技能部分已折叠。显示 8 项技能，共 17 项。

要了解的详细信息

作业

1 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有1个模块

In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business problem, and describes what components are needed for a successful organizational adoption of ML.