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    • Linear Algebra

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    180 results for "linear algebra"

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      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Lambda Calculus, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science

      4.6

      (12.8k reviews)

      Beginner · Specialization · 3-6 Months

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      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linearity, Python Programming, Machine Learning Algorithms, Mathematics, Machine Learning, Statistical Programming, Matrices, Algebra, Linear Algebra, Computer Programming

      4.7

      (10.9k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Linear Algebra, Logic, Mathematics

      4.8

      (255 reviews)

      Beginner · Specialization · 3-6 Months

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      Howard University

      Linear Algebra for Data Science Using Python

      Beginner · Specialization · 3-6 Months

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      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Algebra, Calculus, Data Analysis, Data Analysis Software, Differential Equations, Linear Algebra, Linearity, Mathematical Theory & Analysis, Mathematics, Matlab, Matrices, Modal Μ-Calculus

      4.8

      (6.1k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Computer Graphics, Mathematical Theory & Analysis, Algebra, Mathematics, General Statistics, Computer Graphic Techniques, Probability & Statistics, Linear Algebra

      4.7

      (36 reviews)

      Intermediate · Course · 1-3 Months

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      Howard University

      Introduction to Linear Algebra and Python

      Beginner · Course · 1-4 Weeks

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      Free

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      Duke University

      Data Science Math Skills

      Skills you'll gain: Mathematical Theory & Analysis, Theoretical Computer Science, Plot (Graphics), Computational Logic, Algebra, Bayesian Statistics, Data Visualization, Bayesian, Probability Distribution, Mathematics, General Statistics, Graph Theory, Probability & Statistics, Probability

      4.5

      (10.4k reviews)

      Beginner · Course · 1-3 Months

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      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linearity, Algebra, Mathematics, Matrices, Linear Algebra

      4.9

      (3.6k reviews)

      Beginner · Course · 1-4 Weeks

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      Howard University

      Fundamental Linear Algebra Concepts with Python

      Mixed · Course · 1-4 Weeks

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      Free

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      University of Minnesota

      Matrix Methods

      Skills you'll gain: Entrepreneurship, Mathematical Theory & Analysis, Mathematics, Matrices, Algebra, Linear Algebra

      4.1

      (210 reviews)

      Intermediate · Course · 1-3 Months

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      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Mathematics, Algebra, Linear Algebra

      4.9

      (7 reviews)

      Beginner · Course · 1-3 Months

    Searches related to linear algebra

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

    • Mathematics for Machine Learning: Imperial College London
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Linear Algebra for Data Science Using Python: Howard University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Introduction to Linear Algebra and Python: Howard University
    • Data Science Math Skills: Duke University
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • Fundamental Linear Algebra Concepts with Python: Howard University

    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 Regression (9)
    Numpy (9)

    Frequently Asked Questions about Linear Algebra

    • 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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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