课程描述
Complete Linear Algebra for Data Science, name of the training video series in the field of software engineering and linear algebra can be. In truth you in this course to form a very comprehensive and complete with the concept of linear algebra for use in science data and machine learning will be familiar. All content and teaching this course to the simplest form possible to the students is presented. There are various tests at the end of the sessions, to help students with the skills to form your basic improve.
Complete Linear Algebra for Data Science，软件工程和线性代数领域的培训视频系列的名称。事实上，您在本课程中对用于科学数据和机器学习的线性代数概念形成了非常全面和完整的了解。本课程的所有内容和教学都以最简单的形式呈现给学生。课程结束时有各种测试，帮助学生掌握技能，形成你的基本提高。
Also in the making of this course it is assumed that your students any knowledge and previous experience you have not. Hence, all content, step by step, you will be trained. The approach of the course also carried out in accordance with practice real can you learn realistic and practical help. This course is for developers, data, artificial intelligence, learning, machine, learning, and … computer graphics and…, programming, etc will be very suitable.
此外，在开设本课程时，我们假设您的学生具备您所没有的任何知识和以往经验。因此，所有的内容，一步一步，你会得到培训。课程的方法也按照实战进行，能为你学习到切合实际的实际帮助。本课程面向开发人员，数据，人工智能，学习，机器，学习，以及……计算机图形学和……，编程等都会非常适合。
Cases in which the course is taught:; 课程教学案例：
- Learning and thorough acquaintance with the basics of linear algebra
- 学习并彻底熟悉线性代数的基础知识
- Familiarity with the concept and foundations of Matrix and use it in projects
- 熟悉Matrix的概念和基础，并在项目中使用它
- Learning operations on a Matrix unit, such as the transfer of the scale
- 矩阵单元上的学习操作，例如尺度的转移
- Learn how to operations on the two matrices, such as multiplication of Matrix
- 了解如何对两个矩阵进行运算，例如矩阵的乘法
- Learn how to solve systems of linear equations using Matrix and Matrix inverse
- 了解如何使用 Matrix 和 Matrix inverse 求解线性方程组
- And…
- 和…
Profile, course, Complete, Linear Algebra for Data Science; 简介，课程，完整的数据科学线性代数
- Language : English
- 英语语言
- Time duration : 17:53:59
- 持续时间：17:53:59
- Number of courses: 210
- 课程数量：210
- Instructor : Kashif A.
- 教练：Kashif A.
- File format : mp4
- 文件格式：mp4
This course will Complete Linear Algebra for Data Science; 本课程将完成数据科学的线性代数
Course content
210 lectures 17:53:59
课程内容 210讲 17:53:59
Welcome and Introduction
1 lecture 02:43
欢迎和介绍 1 个讲座 02:43
Basics of Matrices
6 lectures 32:28
矩阵基础 6 个讲座 32:28
Basics of Matrices (Continued)
12 lectures 01:18:49
矩阵基础（续）12 个讲座 01:18:49
Matrices and Systems of Linear Equations
7 lectures 46:36
矩阵和线性方程组 7 个讲座 46:36
Matrix Algebra and Operations
5 lectures 21:24
矩阵代数与运算 5 讲 21:24
Determinant of a Matrix
4 lectures 20:43
矩阵的行列式 4 讲座 20:43
Inverse of a Matrix
7 lectures 46:30
逆矩阵第 7 讲 46:30
Properties of Determinants
6 lectures 14:57
行列式的性质 6 个讲座 14:57
*** OPTIONAL: Introduction to Vectors
11 lectures 52:30
*** 可选：向量介绍 11 个讲座 52:30
Vector Spaces
9 lectures 40:04
向量空间 9 个讲座 40:04
Subspace and Nullspace
7 lectures 24:25
子空间和零空间 7 个讲座 24:25
Span and Spanning Sets
5 lectures 20:02
跨度和跨越集 5 个讲座 20:02
Linear Dependence and Independence
7 lectures 31:54
线性相关和独立 7 讲座 31:54
Basis and Dimension
6 lectures 17:54
基与维 6 个讲座 17:54
Eigenvalues and Eigenvectors
3 lectures 22:20
特征值和特征向量 3 个讲座 22:20
Basic Algebra Concepts (Additional Lessons)
78 lectures 04:41:52
基本代数概念（附加课程）78 个讲座 04:41:52
Congratulations and Bonus Material
36 lectures 05:18:44
祝贺和奖金材料 36 讲座 05:18:44
Prerequisite course; 先修课程
- A passion to learn about Matrices and Vectors
- 热爱学习矩阵和向量
- Ability to perform basic Mathematical operations (+, -, x, ÷) on numbers and fractions
- 能够对数字和分数执行基本的数学运算（+、-、x、÷）
- Knowledge of how to solve a linear equation (e.g., find x in 3x-4=11)
- 了解如何求解线性方程（例如，在 3x-4=11 中求 x）
- Understanding of basic Algebra concepts, e.g., Powers and Roots, simplifying Fractions, Factorization, solving Equations and drawing Graphs.
- 了解基本的代数概念，例如幂和根、简化分数、因式分解、求解方程和绘制图形。
- You only need to know basic Math and Algebra to take this course.
- 你只需要了解基本的数学和代数就可以学习这门课程。
- And the best thing is, most of the above prerequisite topics are covered inside the course
- 最好的是，课程中涵盖了上述大部分先决条件主题
Images; 图片
Sample movie Complete Linear Algebra for Data Science; 示例影片完整的数据科学线性代数
Media error: Format(s) not supported or source(s) not found
媒体错误：格式不受支持或来源未找到
Installation guide; 安装指南
After the Extract with the Player your custom view.
在使用播放器提取您的自定义视图之后。
Subtitle: no.
副标题：没有。
Quality: 720p
画质：720p
