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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
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    E

    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
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    U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, AI Enablement, Responsible AI, Personalized Campaigns, Deep Learning, Risk Modeling, Demand Planning, Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Risk Management, Business Analytics, Customer Demand Planning, Data-Driven Marketing, Machine Learning, Target Market, Artificial Intelligence, Business Risk Management, Supply Chain Planning, Marketing Analytics

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    N

    Northeastern University

    Deep Learning for AI Part 1

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Colorado Boulder

    Description Design for Interactive Learning Resources

    Skills you'll gain: Web Content Accessibility Guidelines, Education Software and Technology, Design Reviews, Interactive Design, User Interface (UI), Interaction Design, Usability, Software Design Patterns, Usability Testing, Technical Documentation, Design Strategies, Technical Writing, Simulations, Writing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Finance for Non-Finance Professionals

    Skills you'll gain: Capital Budgeting, Cash Flows, Fiscal Management, Finance, Financial Analysis, Cash Flow Forecasting, Business Valuation, Return On Investment, Financial Management, Corporate Finance, General Finance, Case Studies, Investment Management, Financial Market, Risk Analysis, Financial Accounting, Capital Markets

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business

    Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Dashboard Creation, Data Wrangling, Excel Macros, Data Preprocessing, Spreadsheet Software, Data Validation, Data Manipulation, Data Processing, Data Presentation, Interactive Data Visualization, Data Analysis Software, Business Analytics, Data Modeling, Financial Forecasting, Analytical Skills, Predictive Modeling, Productivity Software

    4.9
    Rating, 4.9 out of 5 stars
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    64K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    SQL for Beginners

    Skills you'll gain: Data Access, Data Analysis, Relational Databases, Databases

    3.3
    Rating, 3.3 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
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    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Q

    Qualcomm Academy

    5G for Everyone

    Skills you'll gain: Wireless Networks, Telecommunications, Emerging Technologies, Communication Systems, Internet Of Things, Digital Communications, Data Security, Technology Strategies, Network Infrastructure, Virtualization

    4.8
    Rating, 4.8 out of 5 stars
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    742 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Fraud detection, Model Evaluation, Malware Protection, Cybersecurity, Threat Detection, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Classification Algorithms, Email Security, Network Security, Jupyter, Authentications, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
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    136 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

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

  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • AI for Business Leaders: University of Maryland, College Park
  • Deep Learning for AI Part 1: Northeastern University
  • Description Design for Interactive Learning Resources: University of Colorado Boulder
  • Finance for Non-Finance Professionals: Rice University
  • Excel Skills for Business: Macquarie University
  • SQL for Beginners: Packt
  • Generative AI for Everyone: DeepLearning.AI
  • 5G for Everyone: Qualcomm Academy
  • Introduction to Deep Learning for Computer Vision: MathWorks

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