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  • Matrix Algebra

Matrix Algebra Courses

Matrix algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing matrix factorizations, and applying these concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and R for computational tasks, demonstrating how these skills are utilized in areas like artificial intelligence and statistics.


Popular Matrix Algebra Courses and Certifications


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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part I Basic Theory

    Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

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    G

    Georgia Institute of Technology

    Linear Circuits 2: AC Analysis

    Skills you'll gain: Electrical Power, Electrical Engineering, Basic Electrical Systems, Electronics, Power Electronics, Electronic Components, Engineering Analysis, Mathematical Modeling, Engineering Calculations, Plot (Graphics), Verification And Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    768 reviews

    Intermediate · Course · 1 - 3 Months

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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics

    4.7
    Rating, 4.7 out of 5 stars
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    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Enseñanza de las matemáticas de primaria

    Skills you'll gain: Arithmetic, Mathematics Education, Geometry, Systems Of Measurement, General Mathematics

    4.9
    Rating, 4.9 out of 5 stars
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    352 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

Searches related to matrix algebra

matrix algebra for engineers
linear algebra: matrix algebra, determinants, & eigenvectors
linear algebra: linear systems and matrix equations
linear algebra: matrix algebra, determinants,
linear algebra and matrix theory
1…94959697

In summary, here are 10 of our most popular matrix algebra courses

  • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Linear Circuits 2: AC Analysis : Georgia Institute of Technology
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • Machine Learning and its Applications: University of Glasgow
  • Machine Learning with Apache Spark: IBM
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Enseñanza de las matemáticas de primaria: Universidad de los Andes

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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