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所在平台: Udemy |
课程主页: https://www.udemy.com/course/intro-to-fuzzy-logic-and-artificial-intelligence/
课程评论：没有评论
课程名称：模糊逻辑与人工智能入门 课程概述： 本课程将深入探讨模糊逻辑，并阐明其作为人工智能（AI）一个重要分支的地位。尽管“模糊”这个词常让人觉得难以理解，但模糊逻辑在过去二十多年中一直在幕后推动着令人惊叹的技术进步。 模糊逻辑是一种基于规则的系统，它融合了数据科学家或专家的实践经验。作为人工智能的一种形式，它属于AI的子集，与机器学习和深度学习并列，共同构成了AI大家族。 本课程将介绍模糊逻辑在各种领域的实际应用，包括： * **工程领域**：应用于线性系统和非线性系统。 * **非工程领域**：如股票交易、医疗诊断系统和手写识别。 事实上，任何具有输入和输出的系统都可以应用模糊逻辑。因此，掌握模糊逻辑对于希望拓宽技术工具箱的数据科学家至关重要。 通过本课程的学习，学员将不仅熟悉模糊逻辑，还将对其在人工智能中的应用有深入的了解，并建立坚实的基础，为进一步掌握模糊逻辑奠定基础。
Fuzzy Logic isn't often mentioned in the same room as Artificial Intelligence (AI). Pardon the pun, but most people find the idea of fuzzy logic to be fuzzy. However fuzzy logic has been working behind the scenes and bringing forth amazing technological advances for more than two decades. Fuzzy logic is a rule-based system that can rely on the practical experience of a data scientist or an expert. Fuzzy logic is a form of artificial intelligence, thus it is considered a subset of AI. Since it is performing a form of decision making, it can be included as a member of the AI family which includes Machine Learning and Deep Learning. Fuzzy logic can be applied to both linear systems, nonlinear systems, engineering and non-engineering applications such as stock trading. It has also been used in medical diagnosis systems and in handwriting recognition applications. In fact a fuzzy logic system can be applied to almost any type of system that has inputs and outputs. Hence, familiarity with fuzzy logic is important for the Data Scientist desiring a larger tool box. In this course you will become more than familiar. You will learn about Fuzzy Logic, its application to Artificial Intelligence and have a strong enough foundation to master Fuzzy Logic.
