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    • Linear Algebra

    Linear Algebra Courses Online

    Study linear algebra for mathematical and engineering applications. Learn about matrices, vectors, and linear transformations.

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    Explore the Linear Algebra Course Catalog

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      UX: Research Process

      Skills you'll gain: Information Architecture, Design Thinking, User Experience Design, Persona (User Experience), User Research, Usability Testing, Interviewing Skills, Wireframing, Content Creation, Storytelling

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Оптимизация портфеля с помощью модели Марковица

      Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Machine Learning Methods, Network Architecture, Linear Algebra, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Aprendizagem Ativa STEM com Simulações Interativas PhET

      Skills you'll gain: Mathematics Education, Education Software and Technology, Student-Centred Learning, Simulations, Pedagogy, Design Reviews, Survey Creation, Web Content Accessibility Guidelines, Interactive Design, Design Thinking, Scientific Methods, Science and Research, User Feedback, Experimentation, Chemistry, Physics, Technical Support, Graphing, Biology, Algebra

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Applied Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      SwiftUI - The Complete iOS 17 Reference Library of Code

      Skills you'll gain: Apple Xcode, Swift Programming, Apple iOS, iOS Development, Mobile Development, Application Development, Cross Platform Development, UI Components, Graphics Software, Information Architecture, Data Management, Object Oriented Programming (OOP), Animations, Cloud Storage, Visualization (Computer Graphics), Data Storage, Data Storage Technologies, Application Deployment, Programming Principles, User Interface (UI)

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Temporal Logic Model Checking

      Skills you'll gain: Computational Logic, Systems Architecture, Verification And Validation, Systems Design, Software Architecture, Theoretical Computer Science, Digital Communications, Simulations, Algorithms, Safety and Security

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • U

      UBITS

      Construye un curso virtual desde cero

      Skills you'll gain: Developing Training Materials, Learning Management Systems, Needs Assessment, Train The Trainer, Goal Setting, Virtual Environment, Information Architecture, Instructional Design, Organizational Skills, Planning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computer Programming, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

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    1…505152…55

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

    • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
    • UX: Research Process: Packt
    • Оптимизация портфеля с помощью модели Марковица: Coursera Project Network
    • Foundations of Deep Learning and Neural Networks: Packt
    • Aprendizagem Ativa STEM com Simulações Interativas PhET: University of Colorado Boulder
    • Applied Machine Learning with Python: Edureka
    • SwiftUI - The Complete iOS 17 Reference Library of Code: Packt
    • Temporal Logic Model Checking : University of Colorado Boulder
    • Random Processes: Johns Hopkins University
    • Construye un curso virtual desde cero: UBITS

    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 courses on Coursera cover a wide array of fundamental and advanced topics, enabling learners to:

    • Understand vectors and matrices and their applications in various fields
    • Learn methods for solving systems of linear equations
    • Explore eigenvalues and eigenvectors and their significance in transformations
    • Apply linear algebra concepts to computer graphics, data analysis, and more
    • Discover how linear algebra supports machine learning and artificial intelligence algorithms‎

    No prior experience in advanced mathematics is required to start with the introductory linear algebra courses available on Coursera. These courses are designed to accommodate learners at different proficiency levels:

    • Beginners can start with basic concepts of vectors and matrix operations.
    • Intermediate learners can delve into more complex subjects such as linear transformations and space.
    • Advanced learners can tackle topics like abstract vector spaces and computational linear algebra.‎

    Coursera offers various credentials through its linear algebra courses, designed to cater to both novices and professionals:

    • Course certificates that validate your knowledge of linear algebra fundamentals
    • Professional certificates that demonstrate your specialized skills in mathematics
    • Specializations with focused expertise in advanced linear algebra topics‎

    Looking to enhance your team's linear algebra skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our linear algebra training options and make a purchase, please visit our Coursera for Teams page.‎

    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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