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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/machine-learning-supply-chain
课程评论：没有评论
课程名称：供应链的机器学习 课程概述： 在本课程中，您将学习如何使用Python库（如Numpy和Pandas）合并、清理和处理数据。您将掌握基本和高级的Python功能，如导入模块、列表推导式和Lambda函数。此外，您将使用Pulp解决供应链成本优化问题，构建ARIMA模型进行需求预测。 您将获得的技能包括： - 数据科学 - 数据预测 - 机器学习 - 数据分析 - 供应链管理 - Pandas和Numpy使用 - 线性规划（LP） - Python编程 - 自回归积分滑动平均（ARIMA） - 时间序列分析 - 需求预测 关于本专业： 该专业适合希望利用机器学习分析和预测产品使用情况的学生。尽管没有具体的先决条件，但对供应链、一般统计和微积分的基本知识将有所帮助。 实用学习项目： 在每个课程中，您将学习并实践相关技能，使用Coursera实验室环境。最后，您将完成一个顶点项目，分析数据并预测零售产品的使用情况，然后计算最佳安全库存存储。 课程特点： - 100%在线课程，您可以随时开始并按照自己的节奏学习。 - 灵活的学习计划，您可以自行设定和维护截止日期。 - 预计完成时间约为3个月，建议每周学习5小时。 - 提供可分享的证书。 课程链接： 1. [供应链机器学习基础](https://www.coursera.org/learn/machine-learning-for-supply-chain-fundamentals) 2. [基于时间序列的需求预测](https://www.coursera.org/learn/demand-prediction-using-time-series) 3. [供应链的高级人工智能技术](https://www.coursera.org/learn/advanced-ai-techniques-for-the-supply-chain) 4. [顶点项目：预测安全库存](https://www.coursera.org/learn/ml-safety-stock) 立即注册，开始您的学习之旅！
Course Link: https://www.coursera.org/learn/machine-learning-for-supply-chain-fundamentals
Name:Fundamentals of Machine Learning for Supply Chain
Description:Offered by LearnQuest. This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even ... Enroll for free.
Course Link: https://www.coursera.org/learn/demand-prediction-using-time-series
Name:Demand Forecasting Using Time Series
Description:Offered by LearnQuest. This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-ai-techniques-for-the-supply-chain
Name:Advanced AI Techniques for the Supply Chain
Description:Offered by LearnQuest. In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the ... Enroll for free.
Course Link: https://www.coursera.org/learn/ml-safety-stock
Name:Capstone Project: Predicting Safety Stock
Description:Offered by LearnQuest. In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with ... Enroll for free.
What you will learn
Learn to merge, clean, and manipulate data using Python libraries such as Numpy and Pandas
Gain familiarity with the basic and advaned Python functonalities such as importing and using modules, list compreohensions, and lambda functions.
Solve a supply chain cost optimization problem using Linear Programming with Pulp
Building ARIMA models in Python to make demand predictions
Skills you will gain
Data Science
data forecasting
Machine Learning
Data Analysis
Supply Chain
Pandas
Numpy
Linear Programming (LP)
Python Programming
Autoregressive Integrated Moving Average (ARIMA)
Time Series
Demand Forecasting
About this Specialization
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This specialization is intended for students who wish to use machine language to analyze and predict product usage and other similar tasks. There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.
Applied Learning Project
You will learn and practice skills as you go through each of the courses, using the Coursera lab environment. The final course is a capstone project where you will analyze data and make predictions about retail product usage, and then calculate optimal safety stock storage.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.
Hours to complete
Approximately 3 months to complete
Suggested pace of 5 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.
Hours to complete
Approximately 3 months to complete
Suggested pace of 5 hours/week
Available languages
English
Subtitles: English
