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  • Linear Algebra

Linear Algebra Courses

Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.


Popular Linear Algebra Courses and Certifications


  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers: The Capstone Course

    Skills you'll gain: Matlab, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Differential Equations, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Linear Circuits 1: DC Analysis

    Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Power, Electrical Systems, Electronic Systems, Electrical Engineering, Engineering Analysis, Electronics, Electronics Engineering, Engineering, Scientific, and Technical Instruments, Engineering Calculations, Physics, Calculus, Integral Calculus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Scientific Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms, Regression Analysis, Scripting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, AI Personalization, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala

    Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Design, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Code Reusability, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Systems Design, Algorithms, Programming Principles, Design Software, Model Optimization, Digital Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics 102 - AC Circuits and Maxwell's Equations

    Skills you'll gain: Electrical Engineering, electromagnetics, Physics, Engineering Calculations, Electrical Systems, Problem Solving, Applied Mathematics, Electronic Components, Calculus, Electronics, Differential Equations, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Mathematics for Engineers: The Capstone Course: The Hong Kong University of Science and Technology
  • Linear Circuits 1: DC Analysis: Georgia Institute of Technology
  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Machine Learning Essentials: University of Pennsylvania
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Advanced Learning Algorithms: DeepLearning.AI
  • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign

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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