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  • Linear Algebra For Machine Learning

Linear Algebra for Machine Learning Courses

Linear Algebra for Machine Learning courses can help you learn matrix operations, vector spaces, eigenvalues, and linear transformations. You can build skills in solving systems of equations, dimensionality reduction, and understanding data representations. Many courses introduce tools like NumPy and MATLAB, that support implementing algorithms and performing computations efficiently in AI and machine learning projects.

Popular Linear Algebra for Machine Learning Courses and Certifications


  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Data-Driven Decision-Making, Probability & Statistics

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    191 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
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    839 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Software, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    964 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    33K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Machine Learning Software, Statistical Machine Learning, Data Validation, Data Processing, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    5
    Rating, 5 out of 5 stars
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    49 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Jupyter, Algebra, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    33 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular linear algebra for machine learning courses

  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Machine Learning Fundamentals: Dartmouth College
  • Essential Linear Algebra for Data Science: University of Colorado Boulder
  • Supervised Machine Learning: Regression: IBM
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Introduction to Machine Learning: Duke University
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI

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