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  • Matrix Multiplication Algorithm

Results for "matrix multiplication algorithm"


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    U

    Universitat Politècnica de València

    Basic Math: Algebra

    Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Specialization · 3 - 6 Months

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    M

    MathWorks

    Practical MATLAB Skills

    Skills you'll gain: Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Programming Principles, Data Visualization, Data Visualization Software, Data Processing, Descriptive Statistics, Interactive Data Visualization, Exploratory Data Analysis, Data Mapping, Data Cleansing, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

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    P

    Packt

    Algorithms and Problem-Solving in JavaScript

    Skills you'll gain: Algorithms, Javascript, Data Structures, Program Development, Computational Thinking, Performance Tuning, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    156 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Engineering Practices, Matlab, Engineering Calculations, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    134 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Basic Math: Algebra: Universitat Politècnica de València
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Practical MATLAB Skills: MathWorks
  • Data Structures and Algorithms: University of California San Diego
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Algorithms and Problem-Solving in JavaScript: Packt
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Introduction to Linear Algebra: The University of Sydney

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