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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Popular Math For Machine Learning Courses and Certifications


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

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    710 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Software Design, Program Development, Graph Theory, Code Reusability, Computational Logic, Artificial Intelligence, Data Structures, Memory Management, File I/O, Simulations

    4.5
    Rating, 4.5 out of 5 stars
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    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statement Analysis, Financial Statements, Financial Accounting, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Spreadsheet Software, Predictive Modeling, Financial Forecasting, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Human Computer Interaction, Technology Strategies

    4.5
    Rating, 4.5 out of 5 stars
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    197 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    KodeKloud

    Linux for beginners with Hands-on Labs

    Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Ubuntu, Linux Administration, File Systems, Linux Servers, Data Storage, Network Troubleshooting, Operating Systems, Red Hat Enterprise Linux, Data Storage Technologies, Remote Access Systems, Operating System Administration, System Support, Software Installation, File Management, Service Management, General Networking

    4.4
    Rating, 4.4 out of 5 stars
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    22 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Education and Training, Instructional Strategies, Teamwork, Collaboration, Classroom Management, Virtual Environment, Curriculum Planning, Creative Problem-Solving, Team Collaboration, Stress Management, Technology Strategies, Technology Roadmaps, Social Impact, Patient Communication, digital literacy, Artificial Intelligence

    3.9
    Rating, 3.9 out of 5 stars
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    7 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Mastering Tabular ML: Feature Engineering to Production

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Machine Learning Methods, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Model Training, Machine Learning, Supervised Learning, Data Preprocessing, Model Optimization, Predictive Modeling, Model Evaluation, Model Deployment, Data Wrangling, Data Synthesis, Data Transformation, Exploratory Data Analysis, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Learning, Knowledge, and Human Development

    Skills you'll gain: Childhood Education and Development, Education Software and Technology, Education and Training, Human Learning, Child Development, School Psychology, Pedagogy, Human Development, Higher Education, Psychological Evaluations, Learning Theory, Psychology, Applied Behavior Analysis, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
    ·
    295 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • ML: Build, Train, Justify Models: Coursera
  • AI Capstone Project with Deep Learning: IBM
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Learning Technologies Foundations and Applications: University of Illinois Urbana-Champaign
  • Linux for beginners with Hands-on Labs: KodeKloud
  • Leader of Learning Experiences: Intel
  • Applied Unsupervised Learning in Python: University of Michigan
  • Data Analytics and Deep Learning: Illinois Tech

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