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所在平台: Udemy |
课程主页: https://www.udemy.com/course/a-gentle-introduction-to-ai-for-chemical-engineers/
课程评论：没有评论
**课程名称：** 化学工程师AI入门 **课程概述：** 本课程是一门入门级课程，旨在帮助工程学和化学STEM专业的学生以及进入数据科学、人工智能和机器学习领域的行业专业人士。本课程适合对人工智能领域接触较少，并有志于进入或转入该领域及相关领域职业生涯的学员。我们将使用最简单的化学工程和化学概念，主要是著名的理想气体定律，来介绍与人工智能和机器学习相关的各种主题。在每一步中，我们都会使用简单、相关且领域特定的示例（主要是理想气体定律！）来展示这些概念如何与化学工程和化学领域的现实应用和系统相关联。 **主要课程内容：** * 人工智能（AI）和机器学习（ML）的确切定义以及该领域的重要术语 * 从纯数据驱动模型到机理模型等不同建模方法的主要区别 * 损失函数的定义以及选择合适损失函数的重要性 * 人工神经网络和深度学习简介 * 视觉模型和语言模型概述 * 云计算及其优势简介 **课程总结：** 课程最后将提供一系列建议，帮助学员为在这个充满活力、快速发展且令人兴奋的领域继续深造所需的下一步行动。
An introductory course designed for helping engineering and chemistry STEM students and industry professionals entering the data science, AI, and machine learning areas. This course is appropriate for those with minimal prior exposure to the field of AI and interested to either enter or shift their career path to this field and related areas. We use the simplest concepts in chemical engineering and chemistry, mainly the famous ideal gas law! to go over and introduce various topics related to AI and ML. In each step, we use simple, relevant, and area-specific example (mostly ideal gas law!) to show how these concepts relate to real-world applications and systems in chemical engineering and chemistry fields.Main topics covered in the course include:Exact definition of AI and ML and the important terminology of the fieldMain differences between different modeling approaches from purely data-driven models to mechanistic modelsDefinition of loss function and importance of selecting an appropriate one,An introduction to artificial neural networks and deep learningOverview of vision and language modelsAn introduction to cloud computing and its benefits.The course concludes by going over several recommendations for taking the next steps necessary to continue your journey towards this dynamic, fast-growing, and exciting field.
