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  • Linear Algebra For Machine Learning

Linear Algebra for Machine Learning Courses

Linear Algebra for Machine Learning courses can help you learn matrix operations, vector spaces, eigenvalues, and linear transformations. You can build skills in solving systems of equations, dimensionality reduction, and understanding data representations. Many courses introduce tools like NumPy and MATLAB, that support implementing algorithms and performing computations efficiently in AI and machine learning projects.

Popular Linear Algebra for Machine Learning Courses and Certifications


  • Status: Free Trial
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    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arizona State University

    Learning How To Learn for Youth

    Skills you'll gain: Learning Strategies, Lifelong Learning, Productivity, Human Learning, Learning Theory, Cognitive flexibility, Mental Concentration, Creative Thinking, Time Management, Stress Management, Personal Development, Neurology

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • J

    John Wiley & Sons

    Machine Learning For Dummies

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Machine Learning for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Data-Driven Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Digital Marketing Campaigns, Digital Analysis, Online Advertising, Customer Retention, Digital Marketing Tools, Text Mining, Predictive Analytics, Google Analytics, Data Ethics

    3.8
    Rating, 3.8 out of 5 stars
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    19 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Statistical Modeling, Data Analysis, Statistical Methods, Linear Algebra, Predictive Analytics, Model Training, Unsupervised Learning, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Model Training

    4.6
    Rating, 4.6 out of 5 stars
    ·
    302 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Deep Learning: DeepLearning.AI
  • Foundational Mathematics for AI: Johns Hopkins University
  • Learning How To Learn for Youth: Arizona State University
  • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
  • Machine Learning For Dummies: John Wiley & Sons
  • Machine Learning for Marketing: O.P. Jindal Global University
  • Machine Learning for Marketers: University of Colorado System
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Foundations for Machine Learning: Dartmouth College
  • Capstone: Data Science Problem in Linear Algebra Framework: Howard University

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