【2021年】十大線性代數課程人氣排行推薦

本文章推薦「線性代數 (Linear Algebra)」、「Complete linear algebra: theory and implementation in code」、「Become a Linear Algebra Master」等相關線性代數線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





線性代數課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱Complete linear algebra: theory and implementation in codeBecome a Linear Algebra MasterMaster Linear Algebra 2020: The Complete Study Of SpacesLearn Algebra The Easy Way!College Level Advanced Linear Algebra! Theory & Programming!Linear Algebra for Beginners: Open Doors to Great CareersComplete Linear Algebra for Data Science & Machine LearningMathematics Linear Algebra for Machine Learning Data SciencePCA & multivariate signal processing, applied to neural data線性代數 (Linear Algebra)
課程圖示
1

Complete linear algebra: theory and implementation in code

2

Become a Linear Algebra Master

3

Master Linear Algebra 2020: The Complete Study Of Spaces

4

Learn Algebra The Easy Way!

5

College Level Advanced Linear Algebra! Theory & Programming!

6

Linear Algebra for Beginners: Open Doors to Great Careers

7

Complete Linear Algebra for Data Science & Machine Learning

8

Mathematics Linear Algebra for Machine Learning Data Science

9

PCA & multivariate signal processing, applied to neural data

10

線性代數 (Linear Algebra)

課程原價NT$ 590NT$ 2,990NT$ 590NT$ 3,190NT$ 2,990NT$ 590NT$ 2,990NT$ 2,990NT$ 590NT$ 2,990
課程售價NT$ 470NT$ 470NT$ 470NT$ 490NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.8 分(3,178 個評分)4.8 分(2,553 個評分)4.3 分(372 個評分)4.6 分(1,185 個評分)4.6 分(345 個評分)4.1 分(485 個評分)4.5 分(549 個評分)4.3 分(198 個評分)4.9 分(259 個評分)4.6 分(6 個評分)
課程時長33 小時15 小時5.5 小時21 小時35 小時7 小時18 小時13 小時14 小時39 小時
學生人數20,832 人18,575 人5,967 人5,767 人5,475 人4,554 人3,450 人3,070 人2,721 人166 人
課程特色Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.Learn everything from Linear Algebra, then test your knowledge with 400+ practice questionsLearn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.Algebra Review – Slope, Graphing Linear Equations, Exponents, Factoring, Solving Quadratic Equations, & RadicalsLinear Algebra (matlab – python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear AlgebraMaster the Complete linear algebra – Mathematics for data science, machine learning & Deep Learning – Practical exerciseLearn and apply cutting-edge data analysis techniques for the age of “big data” in neuroscience (theory and MATLAB code)了解線性代數的數學原理、列空間、矩陣運算、階梯形矩陣、矩陣基、LU分解、特徵值分解、特徵向量尋找與評估、逆矩陣判斷、線性轉換、向量空間投影、行列式公式、歐拉公式,以及電腦科學的線性代數運用。
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



線性代數課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

線性代數 (Linear Algebra)

了解線性代數的數學原理、列空間、矩陣運算、階梯形矩陣、矩陣基、LU分解、特徵值分解、特徵向量尋找與評估、逆矩陣判斷、線性轉換、向量空間投影、行列式公式、歐拉公式,以及電腦科學的線性代數運用。
NT$ 2,990
NT$ 470

點擊看Udemy

課程老師Wilson Ren
課程評價4.6 分(6 個評分)
課程時長39 小時
學生人數166 人

課程介紹

接近40小時的線性代數課程,帶你一步步學會線性代數的重要觀念和公式,趕快收藏起來!!

線性代數為電腦科學、資訊工程等領域的必修課程,其應用之廣泛,包含機器學習、深度學習、預測模型、電腦圖形處理以及加密系統等等。這堂線性代數課程內容包含基本的線性方程組的基本運算、向量空間、線性獨立、矩陣的可逆性、行列式、施特拉森演算法、線性轉換、還有特徵矩陣以及特徵值的尋找,一步一步帶你認識所有重要的觀念、證明、運算過程與題目解答。不論你的數學基礎為何,都可以有系統性的認識線性代數中的重要理論、公式與計算原理。

瞭解更多細節

哪些人適合這堂課?

  • 對電腦科學、資料科學與數學有興趣的開發者
  • 正在大學就讀資訊工程、電腦科學、資料科學、理工科、數學的學生
  • 對於演算法有興趣者
  • 想要學習資料結構與演算法的人
  • 不是資工本科系,但想要就讀或報考資工研究所的學生

學習目標

  • 了解基本的矩陣原理,包含矩陣的運算與拆解
  • 了解向量空間之間的線性轉換,包括轉換規則與數學應用
  • 特徵向量以及特徵值的尋找(Eigenvectors and Eigenvalues)
  • 了解並證明行列式(Determinant)的公式與計算規則
  • 了解並證明可逆矩陣(Invertible Matrix)的性質與判斷方法
  • 使用簡約列梯形式矩陣(Reduced Row Echelon Form)來找線性方程式的解
  • 了解線性方程組當中的Free Variable and Basic Variable
  • 向量的內積、外積、平行六面體、三階行列式的證明與計算
  • 學習與分析矩陣乘法的施特拉森演算法(Strassen’s Algorithm)
  • 秩零化度定理(Rank Theorem)
  • 馬可夫鍊(Markov’s Chain)與線性代數的應用
  • 使用Power Method and Shifted Inverse Power Method來逼近矩陣的特徵向量與特徵值
  • 用Gershgorin circle theorem找出矩陣的特徵值在複數平面上的範圍
  • 證明圖形理論當中的歐拉公式(Euler Formula)
  • 了解向量空間中的正交(Orthogonality)與標準正交基(Orthonormal Basis)
  • 分解矩陣,包含LU Decomposition, Diagonalization, QR Decomposition.
  • 學會Grand-Schmidt Process
  • 認識線性代數的Projection投影方法,並解決最小平方問題
  • 認識與應用不同的內積空間 (Inner product space)

關注這課程的人也購買了這些…

9

PCA & multivariate signal processing, applied to neural data

Learn and apply cutting-edge data analysis techniques for the age of “big data” in neuroscience (theory and MATLAB code)
NT$ 590
NT$ 470

點擊看Udemy

課程老師Mike X Cohen
課程評價4.9 分(259 個評分)
課程時長14 小時
學生人數2,721 人

課程介紹

What is this course all about?

Neuroscience (brain science) is changing — new brain-imaging technologies are allowing increasingly huge data sets, but analyzing the resulting Big Data is one of the biggest struggles in modern neuroscience (if don’t

瞭解更多細節

哪些人適合這堂課?

  • Anyone interested in next-generation neuroscience data analyses
  • Learners with interest in applied linear algebra to modern big-data challenges
  • Neuroscientists dealing with “big data”
  • Mathematicians, engineers, and physicists who are interested in learning about neuroscience data

學習目標

  • Understand advanced linear algebra methods
  • Apply advanced linear algebra methods in MATLAB
  • Simulate multivariate data for testing analysis methods
  • Analyzing multivariate time series datasets
  • Appreciate the challenges neuroscientists are struggling with!
  • Learn about modern neuroscience data analysis

關注這課程的人也購買了這些…



8

Mathematics Linear Algebra for Machine Learning Data Science

Master the Complete linear algebra – Mathematics for data science, machine learning & Deep Learning – Practical exercise
NT$ 2,990
NT$ 470

點擊看Udemy

課程老師Manifold AI Learning ®
課程評價4.3 分(198 個評分)
課程時長13 小時
學生人數3,070 人

課程介紹

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills?

Then, this course is for you.

With the growing learners of Machine Learning, Data Science, and Deep Learning.

The Common mista

瞭解更多細節

哪些人適合這堂課?

  • Data Scientists who wish to improve their career in Data Science.
  • Machine Learning Practitioners
  • Any one who wants to understand the underpinnings of Maths in Data Science, Machine Learning and Artificial intelligence
  • Any Data Science enthusiast
  • Any student or professional who wants to start or transition to a career in Data Science.
  • Students who want to refresh and learn important maths concepts required for Machine Learning , Deep Learning & Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.

學習目標

  • Build Mathematical intuition required for Data Science and Machine Learning
  • The linear algebra intuition required to become a Data Scientist
  • How to take their Data Science career to the next level
  • Hacks, tips & tricks for their Data Science career
  • Implement Machine Learning Algorithms better
  • Apply Linear Algebra in Data Analysis
  • Learn core concept to Implement in Machine Learning

關注這課程的人也購買了這些…

7

Complete Linear Algebra for Data Science & Machine Learning

Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra
NT$ 2,990
NT$ 470

點擊看Udemy

課程老師Kashif A.
課程評價4.5 分(549 個評分)
課程時長18 小時
學生人數3,450 人

課程介紹

DO YOU WANT TO LEARN LINEAR ALGEBRA IN AN EASY WAY?

Great!

With 22+ hours of content and 200+ video lessons, this course covers everything in Linear Algebra, from start till the end!

Every concept is explained in simple language, and Quizzes and A

瞭解更多細節

哪些人適合這堂課?

  • Students enrolled or planning to enroll in Linear Algebra class, and who want to excel in it
  • Professionals who need a refresher in Math, especially Algebra and Linear Algebra
  • Engineers, Scientists and Mathematicians who want to work with Linear Systems and Vector Spaces
  • Anyone who wants to master Linear Algebra for Data Science, Data Analysis, Artificial Intelligence, Machine Learning, Deep Learning, Computer Graphics, Programming etc.

學習目標

  • Fundamentals of Linear Algebra and how to ace your Linear Algebra exam
  • Basics of matrices (notation, dimensions, types, addressing the entries etc.)
  • Operations on a single matrix, e.g. scalar multiplication, transpose, determinant & adjoint
  • Operations on two matrices, including addition, subtraction and multiplication of matrices
  • Performing elementary row operations and finding Echelon Forms (REF & RREF)
  • Inverses, including invertible and singular matrices, and the Cofactor method
  • Solving systems of linear equations using matrices and inverse matrices, including Cramer’s rule to solve AX = B
  • Properties of determinants, and how to perform Gauss-Jordan elimination
  • Matrices as vectors, including vector addition and subtraction, Head-to-Tail rule, components, magnitude and midpoint of a vector
  • Vector spaces, including dimensions, Euclidean spaces, closure properties and axioms
  • Linear combinations and span, spanning set for a vector space and linear dependence
  • Subspace and Null-space of a matrix, matrix-vector products
  • Basis and standard basis, and checking if a set of given vectors forms the basis for a vector space
  • Eigenvalues and Eigenvectors, including how to find Eigenvalues and the corresponding Eigenvectors
  • Basic algebra concepts ( as a BONUS)
  • And so much more…..

關注這課程的人也購買了這些…



6

Linear Algebra for Beginners: Open Doors to Great Careers

Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!
NT$ 590
NT$ 470

點擊看Udemy

課程老師Richard Han
課程評價4.1 分(485 個評分)
課程時長7 小時
學生人數4,554 人

課程介紹

——————————————————————————————————————-

The prerequisite to the course Linear Algebra for Beginners: Open Doors to Great Careers 2.

—————————————-

瞭解更多細節

哪些人適合這堂課?

  • Working Professionals
  • Anyone interested in gaining mastery of the core concepts in Linear Algebra.
  • Adult Learners
  • College Students

學習目標

  • Refresh your math knowledge.
  • Gain a firm foundation in Linear Algebra for furthering your career.
  • Learn one of the mathematical subjects crucial for Computer Science.
  • Learn one of the mathematical subjects crucial for engineering, computer science, physics, economics, computer animation, and cryptography among many others.
  • Learn one of the mathematical subjects needed for Data Science.
  • Learn a mathematical subject useful in becoming a Quant on Wall Street.

關注這課程的人也購買了這些…

5

College Level Advanced Linear Algebra! Theory & Programming!

Linear Algebra (matlab – python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !
NT$ 2,990
NT$ 470

點擊看Udemy

課程老師Ahmed Fathy, MSc
課程評價4.6 分(345 個評分)
課程時長35 小時
學生人數5,475 人

課程介紹

From Matrix Calculus, To Robotics! From Control Systems, To Computer Graphics! From the Singular Value Decompositions to the Principal Component Analysis. From Systems Of Linear Equations, To Systems Of Differential Equations. From Inverses, to Pseud

瞭解更多細節

哪些人適合這堂課?

  • Anyone Interested In Linear Algebra, especially, but not limited to, in the context of computer engineering, computer science, or data-science.
  • Anyone Interested In Machine Learning & Deep learning.
  • Anyone Interested In Computer Graphics & Game Development.
  • Anyone Interested In Classical Control Systems & Robotics.
  • Anyone Interested To know how to use python & matlab for Linear Algebra.
  • Anyone Interested In Linear Algebra Theories, Concepts, And Proofs.

學習目標

  • Gain Deep Understanding Of Linear Algebra Theoretically, Conceptually & Practically.
  • Obtain A Very Robust Mathematical Foundation For Machine & Deep Learning, Computer Graphics, And Control Systems.
  • Learn How To Use Both Python And Matlab For Solving & Visualizing Linear Algebra Problems.
  • [Matrix Calculus] Learn How To Differentiate & Optimize Complex Equations Involving Matrices.
  • Learn A Lot About Data Science, Co-variance Matrices, And The PCA.
  • Learn About Linear Regression, The Normal Equation, And The Projection Matrix.
  • Learn About Singular Value Decompositions Formally & Conceptually.
  • Learn About Inverses And Pseudo Inverses.
  • Learn About Determinants And Positive Definite Matrices.
  • Learn How To Solve Systems Of Linear, Difference, & Differential Equations Both By Hand And Software.
  • Learn About Lagrange Multipliers & Taylor Expansion.
  • Learn About The Hessian Matrix And Its Importance In Multi-variable Calculus & Optimizations.
  • Learn About Complex Transformation Matrices Like The Matrix To Perform Rotation Around An Arbitrary Axis In 3D.
  • And Much More ! This is a 34+ hours course !

關注這課程的人也購買了這些…



4

Learn Algebra The Easy Way!

Algebra Review – Slope, Graphing Linear Equations, Exponents, Factoring, Solving Quadratic Equations, & Radicals
NT$ 3,190
NT$ 490

點擊看Udemy

課程老師Julio Gonzalez
課程評價4.6 分(1,185 個評分)
課程時長21 小時
學生人數5,767 人

課程介紹

This course is designed for university students taking intermediate algebra and college algebra and high school students taking algebra 1, algebra 2, or algebra 3.

Here is a list of topics covered in this course:

1.  Basic Arithmetic – Addition, Su

瞭解更多細節

哪些人適合這堂課?

  • high school and college students including adults returning to college.

學習目標

  • At the end of my course, students will be able to understand the basic fundamentals and principles of algebra.

關注這課程的人也購買了這些…

3

Master Linear Algebra 2020: The Complete Study Of Spaces

Learn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.
NT$ 590
NT$ 470

點擊看Udemy

課程老師Kody Amour
課程評價4.3 分(372 個評分)
課程時長5.5 小時
學生人數5,967 人

課程介紹

Have you ever wanted to fully understand the fourth dimension? How about the fifth? How about a space that is infinite dimensional? This is likely the most applicable mathematics course ever. We cover in depth everything about dots, lines, planes, sp

瞭解更多細節

哪些人適合這堂課?

  • Potential Engineers
  • Potential Mathematicians
  • Those interested in Algebra

學習目標

  • Solve linear systems
  • Understand matrix algebra
  • Know how to find the determinant of any matrix
  • Understand vector spaces and their properties
  • Understand what a basis is and how to apply it
  • Understand linear transformations
  • Understand eigenvectors
  • Understand norms
  • Understand inner products

關注這課程的人也購買了這些…



2

Become a Linear Algebra Master

Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions
NT$ 2,990
NT$ 470

點擊看Udemy

課程老師Krista King
課程評價4.8 分(2,553 個評分)
課程時長15 小時
學生人數18,575 人

課程介紹

HOW BECOME A LINEAR ALGEBRA MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:

This 247-lesson course includes video and text explanations of everything from Linear Algebra, and it includes 69 quizzes (with solutions!) and an additional 12 workbooks wi

瞭解更多細節

哪些人適合這堂課?

  • Current Linear Algebra students, or students about to start Linear Algebra who are looking to get ahead
  • Anyone who wants to study math for fun after being away from school for a while
  • Anyone who needs Linear Algebra as a prerequisite for Machine Learning, Deep Learning, Artificial Intelligence, Computer Programming, Computer Graphics and Animation, Data Analysis, etc.

學習目標

  • Operations on one matrix, including solving linear systems, and Gauss-Jordan elimination
  • Operations on two matrices, including matrix multiplication and elimination matrices
  • Matrices as vectors, including linear combinations and span, linear independence, and subspaces
  • Dot products and cross products, including the Cauchy-Schwarz and vector triangle inequalities
  • Matrix-vector products, including the null and column spaces, and solving Ax=b
  • Transformations, including linear transformations, projections, and composition of transformations
  • Inverses, including invertible and singular matrices, and solving systems with inverse matrices
  • Determinants, including upper and lower triangular matrices, and Cramer’s rule
  • Transposes, including their determinants, and the null (left null) and column (row) spaces of the transpose
  • Orthogonality and change of basis, including orthogonal complements, projections onto a subspace, least squares, and changing the basis
  • Orthonormal bases and Gram-Schmidt, including definition of the orthonormal basis, and converting to an orthonormal basis with the Gram-Schmidt process
  • Eigenvalues and Eigenvectors, including finding eigenvalues and their associate eigenvectors and eigenspaces, and eigen in three dimensions

關注這課程的人也購買了這些…

1

Complete linear algebra: theory and implementation in code

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.
NT$ 590
NT$ 470

點擊看Udemy

課程老師Mike X Cohen
課程評價4.8 分(3,178 個評分)
課程時長33 小時
學生人數20,832 人

課程介紹

You need to learn linear algebra!

Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix

瞭解更多細節

哪些人適合這堂課?

  • Anyone interested in learning about matrices and vectors
  • Students who want supplemental instruction/practice for a linear algebra course
  • Engineers who want to refresh their knowledge of matrices and decompositions
  • Biologists who want to learn more about the math behind computational biology
  • Data scientists (linear algebra is everywhere in data science!)
  • Statisticians
  • Someone who wants to know the important math underlying machine learning
  • Someone who studied theoretical linear algebra and who wants to implement concepts in computers
  • Computational scientists (statistics, biological, engineering, neuroscience, psychology, physics, etc.)
  • Someone who wants to learn about eigendecomposition, diagonalization, and singular value decomposition!
  • Artificial intelligence students

學習目標

  • Understand theoretical concepts in linear algebra, including proofs
  • Implement linear algebra concepts in scientific programming languages (MATLAB, Python)
  • Apply linear algebra concepts to real datasets
  • Ace your linear algebra exam!
  • Apply linear algebra on computers with confidence
  • Gain additional insights into solving problems in linear algebra, including homeworks and applications
  • Be confident in learning advanced linear algebra topics
  • Understand some of the important maths underlying machine learning
  • The math underlying most of AI (artificial intelligence)

關注這課程的人也購買了這些…



線性代數課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱Complete linear algebra: theory and implementation in codeBecome a Linear Algebra MasterMaster Linear Algebra 2020: The Complete Study Of SpacesLearn Algebra The Easy Way!College Level Advanced Linear Algebra! Theory & Programming!Linear Algebra for Beginners: Open Doors to Great CareersComplete Linear Algebra for Data Science & Machine LearningMathematics Linear Algebra for Machine Learning Data SciencePCA & multivariate signal processing, applied to neural data線性代數 (Linear Algebra)
課程圖示
1

Complete linear algebra: theory and implementation in code

2

Become a Linear Algebra Master

3

Master Linear Algebra 2020: The Complete Study Of Spaces

4

Learn Algebra The Easy Way!

5

College Level Advanced Linear Algebra! Theory & Programming!

6

Linear Algebra for Beginners: Open Doors to Great Careers

7

Complete Linear Algebra for Data Science & Machine Learning

8

Mathematics Linear Algebra for Machine Learning Data Science

9

PCA & multivariate signal processing, applied to neural data

10

線性代數 (Linear Algebra)

課程原價NT$ 590NT$ 2,990NT$ 590NT$ 3,190NT$ 2,990NT$ 590NT$ 2,990NT$ 2,990NT$ 590NT$ 2,990
課程售價NT$ 470NT$ 470NT$ 470NT$ 490NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470NT$ 470
課程評價(人數)4.8 分(3,178 個評分)4.8 分(2,553 個評分)4.3 分(372 個評分)4.6 分(1,185 個評分)4.6 分(345 個評分)4.1 分(485 個評分)4.5 分(549 個評分)4.3 分(198 個評分)4.9 分(259 個評分)4.6 分(6 個評分)
課程時長33 小時15 小時5.5 小時21 小時35 小時7 小時18 小時13 小時14 小時39 小時
學生人數20,832 人18,575 人5,967 人5,767 人5,475 人4,554 人3,450 人3,070 人2,721 人166 人
課程特色Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.Learn everything from Linear Algebra, then test your knowledge with 400+ practice questionsLearn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.Algebra Review – Slope, Graphing Linear Equations, Exponents, Factoring, Solving Quadratic Equations, & RadicalsLinear Algebra (matlab – python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear AlgebraMaster the Complete linear algebra – Mathematics for data science, machine learning & Deep Learning – Practical exerciseLearn and apply cutting-edge data analysis techniques for the age of “big data” in neuroscience (theory and MATLAB code)了解線性代數的數學原理、列空間、矩陣運算、階梯形矩陣、矩陣基、LU分解、特徵值分解、特徵向量尋找與評估、逆矩陣判斷、線性轉換、向量空間投影、行列式公式、歐拉公式,以及電腦科學的線性代數運用。
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



從老師查找更多課程

以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供線性代數的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2021年】十大線性代數課程人氣排行推薦

參考其他數學線上課程

除了本文介紹的課程種類以外,想要瞭解數學領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


Q&A

  • Q1:網站願景
    網站上推薦給大家的商品基本上都沒有直接跟任何商家有接觸往來,純粹有興趣想要分享商家熱門的產品給有需要的人。如果您透過我的購買連結購買商品,我是有機會獲得少數的佣金,但不一定每次都會有,佣金不會增加您購買商品的價錢,也不會影響您任何購買的權益,但這讓網站可以持續營運,並有機會讓您看到網站持續進步並協助更多同樣需要購買的消費者。

    「如果本文有協助到您,您也願意回饋支持,可以在決定購買商品前再次點擊購買連結,並在一定時間內完成訂單。非常感謝您的鼓勵,網站會持續提供更好的體驗給您。」
  • Q2:文章內為什麼會有不相關的商品?
    您可能會發現文章內所推薦的商品有時會有一兩個品項跟主題不相關,這是因為商家在建立資料的時候設定了不相關的關聯造成的,如此會讓文章針對選某一商品主題選取熱門的品項時出現該商品,機會不大但確實偶爾會發生這種情況。

    如果您有發現並願意留言跟我反應的話,我會針對該商品進行處理,以防造成其他人在選購時的困擾。造成您的不便敬請見諒,如果我有發現都會一一更新文章,希望能持續提供給大家熱門的商品資訊並且好的閱讀體驗。
  • Q3:文章可以留言嗎?
    有問題都歡迎留言。因為太多網路機器人會發很多無相關的訊息或推銷資訊在文章上,所以網站上可以看到留言的輸入欄位,但卻沒有出現相關留言內容。基本上留言我都會定時去看,如果有任何問題都歡迎讓我知道,如果有重複詢問的情況表示很多人都想要瞭解的主題,我會整理到Q&A這區塊,方便未來大家查看。
Tagged on: