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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mathematics-for-machine-learning/
课程评论：没有评论
课程名称：机器学习数学 课程概述： 您是否希望学习一门在计算机科学、数据科学和人工智能等高需求、高薪职业领域中至关重要的数学科目？如果您希望为机器学习奠定坚实的基础，以便在灵活的自学时间内提升职业目标，并且成本远低于传统大学的费用，那么这门在线课程就是为您准备的。无论您是需要复习机器学习的在职专业人士，还是需要从零开始学习机器学习的初学者，这门课程都适合您。 选择这门在线课程的理由： - 您需要刷新机器学习的知识，以便在职业生涯中获得更高的薪水。 - 您需要学习机器学习，因为这是您所选择的职业领域（如数据科学或人工智能）所必需的数学科目。 - 您打算攻读硕士或博士学位，而机器学习是必修或推荐的科目。 为何选择本课程讲师： 我获得了加州大学河滨分校的数学博士学位，创建了多门成功的在线数学课程，学生们在全球范围内都觉得这些课程非常有价值，包括线性代数、离散数学和微积分等。 在本课程中，我将涵盖以下核心概念： - 线性回归 - 线性判别分析 - 逻辑回归 - 人工神经网络 - 支持向量机 完成该课程后，您将感到轻松自信。我将把复杂的内容拆分为易于理解的部分，逐步讲解每一个定义和示例，确保您清晰理解每个主题。此外，我也将随时解答您对讲座材料或其他问题的疑问。课程中提供了练习题和详细答案，以帮助您检验理解程度。 如果不满意，您可以在30天内全额退款。请拿起一杯咖啡，开始听第一节课。我和您的同学都会在这里支持您，期待您的见解和问题！立即报名！
Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: Computer Science Data Science Artificial Intelligence If you're looking to gain a solid foundation in Machine Learning to further your career goals, in a way that allows you to study on your own schedule at a fraction of the cost it would take at a traditional university, this online course is for you. If you're a working professional needing a refresher on machine learning or a complete beginner who needs to learn Machine Learning for the first time, this online course is for you. Why you should take this online course: You need to refresh your knowledge of machine learning for your career to earn a higher salary. You need to learn machine learning because it is a required mathematical subject for your chosen career field such as data science or artificial intelligence. You intend to pursue a masters degree or PhD, and machine learning is a required or recommended subject. Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have created many successful online math courses that students around the world have found invaluable-courses in linear algebra, discrete math, and calculus. In this course, I cover the core concepts such as: Linear Regression Linear Discriminant Analysis Logistic Regression Artificial Neural Networks Support Vector Machines After taking this course, you will feel CARE-FREE AND CONFIDENT. I will break it all down into bite-sized no-brainer chunks. I explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with. Practice problems are provided for you, and detailed solutions are also provided to check your understanding. 30 day full refund if not satisfied. Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!
