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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-linear-algebra-and-probability-2-in-1-bundle/
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课程名称：数据科学与机器学习的数学 概述：本课程通过超过6.5小时的视频课程，逐步讲解数据科学和机器学习所需的数学知识。课程强调数学在数据科学与机器学习中的重要性，并将内容分为线性代数与概率统计两个部分，让学生全面学习相关知识。课程设计旨在满足学生的需求，确保学员在7小时的学习中能完整掌握所有内容。 适用范围：线性代数和概率统计通常是数据科学、机器学习、Python和IT专业学生的必修课程。因此，课程针对不同领域的学生，提供了双重学习内容。 教学方法：本课程在大学课堂上进行了多次教学，通常分为两部分，线性代数和概率统计分别占100分。在教学过程中，我注重方法和实例，通过多种方式帮助学生理解核心概念，以确保他们能够掌握课程的重点。案例分析能够有效提高学生的理解能力。 2合1的课程设计：与一些讲师单独花费30小时在某一主题上相比，我认为这种做法效率低下。学生的时间有限，因此我将线性代数与概率统计结合在一个课程中，提供了更高效的学习方式。所有视频均为高清制作，受到广泛认可。 线性代数部分：学生将掌握矩阵和行列式的概念，非线性方程的多种解法，向量空间，线性相关与无关的向量集，线性变换，以及Gram-Schmidt正交化过程。 概率与统计部分：学生将学习样本空间、分布、均值、中位数、众数和极差等知识，并深入了解其他概率和统计内容。 课程内容详细信息：完整课程内容请查看课程内容部分。视频时长从10分钟到50分钟不等，采用PowerPoint幻灯片设计，所有概念均通过鼠标游标演示，并配有语音讲解，便于学生理解。
< Step-by-step explanation of more than 6.5 hours of video lessons on Math for Data Science and Machine Learning>In this course, we will learn math for data science and machine learning. We will also discuss the importance of Math for data science and machine learning in practical words. Moreover, Math for data science and machine learning course is a bundle of two courses in linear algebra and probability and statistics. So, students will learn the complete contents of probability and statistics and linear algebra. It is not like you will not complete all the contents in this 7 hours video course. This is a beautiful course and I have designed this course according to the need of the students.WHERE THIS COURSE IS APPLICABLE?Linear algebra and probability and statistics are usually offered for students of data science, machine learning, python, and IT students. So, that's why I have prepared this dual course for different sciences. METHODOLOGYI have taught this course multiple times in my university classes. It is offered usually in two different modes like it is offered as linear algebra for 100 marks paper and probability and statistics as another 100 marks paper for two different or in the same semesters. I usually focus on the method and examples while teaching this course. Examples clear the concepts of the students in a variety of ways, they can understand the main idea that the instructor wants to deliver if they feel typical the method of the subject or topics. So, focusing on examples makes the course easy and understandable for the students.2 IN 1 STUFFMany instructors (not kidding anyone but it is reality) put the 30 + hours just on one topic like linear algebra, which I think is useless. Students don't have the time to see the huge videos. So, that's why I am giving the two kinds of stuff in one stuff (2 in 1), linear algebra and probability and statistics. The complete course is very highly recognized and all the videos are high-definition videos. LINEAR ALGEBRA SECTIONS INCLUDEIn linear algebra, the students will master the concepts of matrix and determinant, solution of nonlinear equations by different methods, vector spaces, linearly dependent and independent sets of vectors, linear transformation, and Gram's Schmidt normalization process. PROBABILITY AND STATISTICS SECTIONS INCLUDEWhile in Probability and Statistics, the students will learn sample spaces, distributions, mean, median, mode, and range. They will also learn the other contents of probability and statistics in a detailed way. THE COMPLETE DETAIL OF THE CONTENTSTo see the complete contents, please visits the contents sections of this course. The videos are relatively long videos that start from 10 minutes and end in 50 minutes. And the course has been designed on PowerPoint slides. All the concepts have been illustrated with the mouse cursor on the slides. Just follow the voice-over and the mouse cursor to understand the concepts.
