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  • Mathematics For Machine Learning

Mathematics for Machine Learning Courses

Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.


Popular Mathematics for Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Django for Everybody

    Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Cascading Style Sheets (CSS), Javascript and jQuery, Hypertext Markup Language (HTML), JSON, HTML and CSS, Linux, Linux Commands, Application Development, Back-End Web Development, Database Application, Web Development, Cloud Deployment, Application Deployment, Javascript, SQL, Code Reusability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    D

    Duke University

    AI for Productivity

    Skills you'll gain: Responsible AI, AI powered creativity, Data Ethics, Adobe Firefly, Productivity Software, AI Workflows, Generative AI, Productivity, AI Integrations, Writing, AI literacy, Writing and Editing, Gemini, Microsoft Copilot, Unstructured Data, Prompt Engineering, Administrative Support, Data Analysis, Operational Efficiency, Media Production

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    233K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    A

    Arizona State University

    English Communication for Tech Professionals

    Skills you'll gain: Business Writing, Oral Expression, Presentations, Grammar, Rapport Building, Business Communication, Technical Communication, Verbal Communication Skills, Writing, People Development, Vocabulary, Business Correspondence, Interpersonal Communications, Communication, Interviewing Skills, English Language, LinkedIn, Communication Strategies, Constructive Feedback, Professional Networking

    4.8
    Rating, 4.8 out of 5 stars
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    80 reviews

    Mixed · Course · 1 - 3 Months

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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Model Training, Devops Tools, Applied Machine Learning, Application Lifecycle Management, Continuous Deployment, Cloud Deployment, Automation, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    P

    Politecnico di Milano

    Spaces and technologies for smart learning

    Skills you'll gain: Augmented and Virtual Reality (AR/VR), Digital pedagogy, Education Software and Technology, Augmented Reality, Virtual Environment, Virtual Reality, Innovation, Design Strategies, Emerging Technologies

    Beginner · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Creativity, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Planning

    4.6
    Rating, 4.6 out of 5 stars
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    870 reviews

    Mixed · Course · 1 - 4 Weeks

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    P

    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Computational Logic, Graph Theory, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Computational Thinking, Algebra, Geospatial Information and Technology, Information Technology, Informatics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Essentials

    Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
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    51K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Calculus for Engineers

    Skills you'll gain: Calculus, Numerical Analysis, Integral Calculus, Applied Mathematics, Differential Equations, Mechanics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

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

  • Django for Everybody: University of Michigan
  • AI for Productivity: Duke University
  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • English Communication for Tech Professionals: Arizona State University
  • Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
  • Spaces and technologies for smart learning: Politecnico di Milano
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • 离散数学概论 Discrete Mathematics Generality: Peking University

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