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    • Linear Algebra
    Related topics:微積分學線性微分方程數學數學代數IBM

    篩選依據

    ''linear algebra'的 165 個結果

    • Imperial College London

      Imperial College London

      Mathematics for Machine Learning

      您將獲得的技能: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Linear Algebra, Linear Regression, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science

      4.6

      (12.8k 條評論)

      Beginner · Specialization

    • Imperial College London

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      您將獲得的技能: Mathematics, Python Programming, Matrices, Statistical Programming, Linearity, Computer Programming, Algebra, Machine Learning, Machine Learning Algorithms, Linear Algebra

      4.7

      (10.8k 條評論)

      Beginner · Course

    • University of Colorado Boulder

      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      您將獲得的技能: Mathematics, Mathematical Theory & Analysis, Algebra, Linear Algebra

      4.8

      (25 條評論)

      Intermediate · Course

    • Johns Hopkins University

      Johns Hopkins University

      Algebra: Elementary to Advanced

      您將獲得的技能: Algebra, Linear Algebra, Mathematics

      4.8

      (227 條評論)

      Beginner · Specialization

    • The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      您將獲得的技能: Algebra, Calculus, Data Analysis, Data Analysis Software, Differential Equations, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Modal Μ-Calculus

      4.8

      (6.1k 條評論)

      Beginner · Specialization

    • Korea Advanced Institute of Science and Technology(KAIST)

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      您將獲得的技能: Mathematics, Algebra, Linear Algebra

      4.9

      (7 條評論)

      Beginner · Course

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      The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      您將獲得的技能: Mathematics, Linearity, Matrices, Linear Algebra, Algebra

      4.9

      (3.6k 條評論)

      Beginner · Course

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      University of Colorado Boulder

      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      您將獲得的技能: Algebra, Big Data, Calculus, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution, Product Design, Software Architecture, Software Engineering, Theoretical Computer Science

      4.4

      (52 條評論)

      Intermediate · Specialization

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      免費

      University of Minnesota

      University of Minnesota

      Matrix Methods

      您將獲得的技能: Mathematical Theory & Analysis, Entrepreneurship, Mathematics, Analysis, Linearity, Linear Algebra, Algebra, Matrices

      4.1

      (209 條評論)

      Intermediate · Course

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      免費

      Duke University

      Duke University

      Data Science Math Skills

      您將獲得的技能: Theoretical Computer Science, Mathematics, Plot (Graphics), Mathematical Theory & Analysis, Bayesian Statistics, Probability & Statistics, General Statistics, Graph Theory, Data Visualization, Probability Distribution, Bayesian, Probability, Computational Logic, Algebra

      4.5

      (10.3k 條評論)

      Beginner · Course

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      免費

      University of North Texas

      University of North Texas

      College Math Prep

      您將獲得的技能: Leadership and Management, Mathematics, Financial Accounting, Entrepreneurship, Probability & Statistics, Graph Theory, Accounting, Linear Algebra, Algebra, Research and Design, Problem Solving

      4.1

      (30 條評論)

      Beginner · Course

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      Johns Hopkins University

      Johns Hopkins University

      Precalculus through Data and Modelling

      您將獲得的技能: Algebra, Calculus, Data Analysis, Data Management, Data Model, Geometry, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Probability & Statistics

      4.6

      (153 條評論)

      Beginner · Specialization

    與 linear algebra 相關的搜索

    essential linear algebra for data science
    mathematics for machine learning: linear algebra
    math for ai beginner part 1 linear algebra
    doğrusal cebir i: uzaylar ve işlemciler / linear algebra i: spaces and operators
    doğrusal cebir ii: kare matrisler, hesaplama yöntemleri ve uygulamalar / linear algebra ii: square matrices, calculation methods and applications
    aprendiendo python con álgebra lineal
    1234…14

    總之,這是我們最受歡迎的 linear algebra 門課程中的 10 門

    • Mathematics for Machine Learning: Imperial College London
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • Expressway to Data Science: Essential Math: University of Colorado Boulder
    • Matrix Methods: University of Minnesota
    • Data Science Math Skills: Duke University

    您可以在 Machine Learning 中學到的技能

    Python 程序設計 (33)
    Tensorflow (32)
    深度學習 (30)
    人工神經網絡 (24)
    大數據 (18)
    統計分類 (17)
    強化學習 (13)
    代數 (10)
    貝葉斯定理 (10)
    線性回歸 (9)
    Numpy (9)

    關於 線性代數 的常見問題

    • Linear algebra is a central branch of mathematics that is focused on the interaction between vector spaces, linear equations, matrices, and linear transformations. Linear algebra is similar to basic algebra, but instead of finding correlations between single numbers, it seeks to find linear connections between scalars (temperature, mass, volume, speed) and vectors, which are lists of numbers. Linear algebra is important for the worlds of data analytics and any kind of work in the computer software field, as it builds on mathematical logic and building block relationships.‎

    • It's important to learn linear algebra to get deeper clarity and better intuition for how mathematical algorithms really work. This knowledge can help you think more logically about projects and apply the linear algebra principles to machine learning projects you may be moving toward. Overall, having linear algebra knowledge can help you learn the fundamentals of data analysis, machine learning, and mathematical theory.‎

    • Typical careers that use knowledge of linear algebra involve jobs in physics and science, data analysis, technology operations and management, machine learning, and algebra instruction. All of these careers are in high demand, as the world gets more connected through data systems.‎

    • When you take online courses about linear algebra, you can learn how mathematical relationships matter in classifying objects, spaces, and situations. The knowledge you can gain by studying linear algebra can give you insights into different fields like economics, physics, and politics. For example, the concepts of linear algebra can be found in determining local auto traffic depending on people's moving patterns and analyzing how this movement matters to local business factors.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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