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    • Linear Algebra

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    258 results for "linear algebra"

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      Imperial College London

      Mathematics for Machine Learning

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

      4.6

      (13.6k reviews)

      Beginner · Specialization · 3-6 Months

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      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

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

      4.7

      (11.5k reviews)

      Beginner · Course · 1-3 Months

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      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Mathematics, Linear Algebra, Calculus, Differential Equations, Algebra, Mathematical Theory & Analysis, Data Analysis, Data Analysis Software, Matlab, Applied Mathematics

      4.8

      (6.6k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (266 reviews)

      Beginner · Specialization · 1-3 Months

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      Johns Hopkins University

      Algebra: Elementary to Advanced

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

      4.8

      (390 reviews)

      Beginner · Specialization · 3-6 Months

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      Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Linear Algebra, Mathematics, Computer Programming, Python Programming, Statistical Programming, Algebra

      3.3

      (12 reviews)

      Beginner · Specialization · 3-6 Months

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      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

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

      4.9

      (3.9k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Mathematics, Algebra, Calculus, Linear Algebra, Mathematical Theory & Analysis, Differential Equations, Theoretical Computer Science, Probability & Statistics, Algorithms, Entrepreneurship, Graph Theory, Leadership and Management, Probability Distribution, Problem Solving, Research and Design, Computer Graphic Techniques, Computer Graphics, General Statistics, Accounting, Big Data, Computer Programming, Corporate Accouting, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Finance, Investment Management, Product Design, Programming Principles, Software Architecture, Software Engineering

      4.5

      (214 reviews)

      Intermediate · Specialization · 3-6 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: Algebra, Linear Algebra, Mathematics

      4.8

      (15 reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Computer Graphic Techniques, Computer Graphics, Entrepreneurship, General Statistics, Leadership and Management, Probability & Statistics, Problem Solving, Research and Design

      4.6

      (80 reviews)

      Intermediate · Course · 1-3 Months

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      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming

      4.4

      (220 reviews)

      Beginner · Course · 1-4 Weeks

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      Free

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      University of Minnesota

      Matrix Methods

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

      4.1

      (221 reviews)

      Intermediate · Course · 1-3 Months

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

      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)

      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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