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所在平台: Udemy |
课程主页: https://www.udemy.com/course/identify-problems-with-ai-case-study/
课程评论：没有评论
**课程名称：** 利用人工智能识别问题 - 案例研究 **课程概述：** 本课程借鉴阿尔伯特·爱因斯坦的思想，旨在教授学员如何运用人工智能技术，从一组相似的对象中识别异常。通过深入研究时间序列传感器数据，学员将了解无监督机器学习算法（如K-means）的工作原理，并学习如何使用R和ShinyApp进行数据探索和项目部署。课程还将介绍版本控制的重要性，以提升组织效率和节省时间。 **核心内容：** * **识别异常：** 学习如何利用AI从相似数据中检测异常。 * **时间序列数据处理：** 掌握R中时间序列数据的操作。 * **无监督机器学习：** 理解K-means算法在真实数据集上的应用。 * **R与ShinyApp开发：** 学习使用R和ShinyApp进行数据可视化和即时部署。 * **版本控制：** 学习使用版本控制工具保持项目有序和高效。 * **制造业案例研究：** 通过真实的制造业数据集进行实践，解决实际生产效率低下问题。 * **多种异常检测方法：** 涵盖基于H2O框架的深度学习（如Autoencoders）等多种先进异常检测技术。 * **工业过程控制：** 构建和演示基于AI的多变量过程监控系统，实现实时异常检测。 * **项目部署：** 所有课程实例均可直接部署到实际生产环境中。 **课程特色：** * **循序渐进：** 提供R语言的入门级介绍和实践案例。 * **实操性强：** 所有演示和代码均可下载，方便复习和重用。 * **多语言支持：** 课程视频配有中简、印地语、德语、法语、意大利语、葡萄牙语、土耳其语、西班牙语、马来语、印尼语、俄语字幕。 * **解决实际问题：** 帮助学员将AI应用于解决制造业中的效率问题。 **课程目标：** 学完本课程，学员将能够利用人工智能（特别是无监督机器学习和深度学习）来识别和解决生产过程中的潜在问题，从而提高效率并降低成本。同时，学员将掌握使用R语言和ShinyApp进行数据分析和项目部署的实用技能。
Inspired by Albert Einstein [1879-1955]Course summary:Learn how to identify anomaly within several similar objects with Artificial IntelligenceWorking with time-series sensor generated dataUnderstand how Unsupervised Machine Learning Algorithm works using real life datasetLearn developing in R and ShinyApp with a possibility to better explore the data, instantly deploy your projectExplained use of Version Control to be organized and save timePractice with real life generalized Dataset coming from Manufacturing!Versatile method is presented using a Case Study approach.This method helped to discover real life inefficiency and to solve the problem!Start with R here! Step by step introduction with examples and practiceBasic understanding on Time-Series data manipulation in RMore approaches of Anomaly Detection including Deep Learning on h2o framework is covered in the coursePractical Developing the idea of Industrial Process Control with Artificial Intelligence with DEMO Shiny Application includedCourse video captions are translated to [Chinese-Simplified, Hindi, German, French, Italian, Portuguese, Turkish, Spanish, Malay, Indonesian, Russian] languagesDescribed:Problem-solving in Manufacturing is usually perceived as a slow and boring activity especially when many possible factors involved. At the same time it's often common that problems going on and on unobserved which is very costly. Is it possible to apply Artificial Intelligence to help human to identify the problem? Is it possible to dedicate this boring problem solving activity to computer? Apparently yes!!!This course will help you to combine popular problem-solving technique called "is/is not" with Artificial Intelligence in order to quickly identify the problem.We will use data coming from four similar Machines. We will process it through the Unsupervised Machine Learning Algorithm k-means. Once you get intuition understanding how this system work You will be amazed to see how easy and versatile the concept is. In our project you will see that helped by Artificial Intelligence Human eye will easily spot the problem. Course will also exploit different other methods of Anomaly Detection. Probably the most interesting one is to use Deep Learning Autoencoders models built with help of H2O Platform in R.Using collected data and Expert Knowledge for Process Control with AI:In this course we will build and demo-try entire multi-variables process supervision system. Process Expert should select dataset coming from the ideally working process. Deep Learning model will be fit to that specific pattern. This model can be used to monitor the process as the new data is coming in. Anomaly in the process then can be easily detected by the process operators.Ready for Production:Another great value from the Course is the possibility to learn using ShinyApp. This tool will help you to instantly deploy your data project in no time!!! In fact all examples we will study will be ready to be deployed in real scenario!Additionally:You will learn R by practicing re-using provided material. More over you can easily retain and reuse the knowledge from the course - all lectures with code are available as downloadable html files. You will get useful knowledge on Version Control to be super organized and productive.Finally:Join this course to know how to take advantage and use Artificial Intelligence in Problem Solving
