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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mathematics-for-machine-learning-and-llms/
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课程名称：机器学习与大语言模型的数学基础 课程概述：机器学习是当今技术界最热门的领域之一！如果你是机器学习的新手，想要成为数据科学家，就必须了解机器学习算法背后的数学知识。这是数据科学家角色的内在部分，任何招聘方或经验丰富的专业人士都会认可这一点。想要深入了解机器学习算法背后的奥秘的学习者，面临着一系列令人畏惧的前提条件：编程、大规模数据分析、与模型相关的数学结构和应用知识。 许多数学学生普遍抱怨课堂所学内容与实际问题关联不大。然而，在机器学习领域，这种情况并不存在。本课程并非旨在将你培养为数学家，而是提供一个实践导向的方法，帮助你高效处理数据，重点讲解你在机器学习学习中会遇到的重要数学概念。课程旨在填补那些在正规教育中遗漏了这些关键概念的学生的知识空白，或者帮助那些长时间未接触数学的学生迎头赶上。 完成课程后，学员将能理解并应用数学概念，以分析和开发机器学习模型，包括大语言模型。
Machine Learning is one of the hottest technologies of our time! If you are new to ML and want to become a Data Scientist, you need to understand the mathematics behind ML algorithms. There is no way around it. It is an intrinsic part of the role of a Data Scientist and any recruiter or experienced professional will attest to that. The enthusiast who is interested in learning more about the magic behind Machine Learning algorithms currently faces a daunting set of prerequisites: Programming, Large Scale Data Analysis, mathematical structures associated with models and knowledge of the application itself. A common complaint of mathematics students around the world is that the topics covered seem to have little relevance to practical problems. But that is not the case with Machine Learning.This course is not designed to make you a Mathematician, but it does provide a practical approach to working with data and focuses on the key mathematical concepts that you will encounter in machine learning studies. It is designed to fill in the gaps for students who have missed these key concepts as part of their formal education, or who need to catch up after a long break from studying mathematics.Upon completing the course, students will be equipped to understand and apply mathematical concepts to analyze and develop machine learning models, including Large Language Models.
