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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

Popular Math For Machine Learning Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Inspire Student Learning with Showbie

    Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    4.9
    Rating, 4.9 out of 5 stars
    ·
    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    Skills you'll gain: Program Evaluation, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Professional Development, Content Creation, Design Strategies, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Creating Interactive Learning Videos with Edpuzzle

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    185 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Validate and Explain Your ML Models: Coursera
  • Inspire Student Learning with Showbie: Coursera
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Deep Learning & Modern AI Architectures: Packt
  • AutoML: Build ML Models without Code: Edureka
  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Evaluate and Create ML Workflows Visually: Coursera
  • Evaluate & Swap Models in Java ML: Coursera

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