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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: 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
    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
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    STARWEAVER

    Management Skills for New Managers

    Skills you'll gain: Team Motivation, Delegation Skills, Team Performance Management, Performance Management, Employee Performance Management, Diversity Awareness, Management Training And Development, Motivational Skills, Emotional Intelligence, Cultural Responsiveness, People Management, Supervision, Empathy & Emotional Intelligence, Team Building, Cultural Sensitivity, Team Collaboration, Leadership, Communication Strategies, Collaboration, Cross-Functional Collaboration

    4.7
    Rating, 4.7 out of 5 stars
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    125 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), Continuous Deployment, LLM Application, Frontend Performance, AI Security, Model Evaluation, Performance Tuning, Applied Machine Learning, Other Programming Languages, Large Language Modeling, Performance Testing, Cryptographic Protocols

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Mastering NLP: Foundations, ML & LLMs

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • 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
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    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    The Science of Well-Being for Teens

    Skills you'll gain: Positivity, Habit Formation, Mental Health, Goal Setting, Stress Management, Compassion, Psychology, Mindfulness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    829 reviews

    Beginner · Course · 1 - 3 Months

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

  • AI Capstone Project with Deep Learning: IBM
  • Learning, Knowledge, and Human Development: University of Illinois Urbana-Champaign
  • Management Skills for New Managers: STARWEAVER
  • Production ML with Hugging Face: Pragmatic AI Labs
  • Mastering NLP: Foundations, ML & LLMs: Packt
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Modern Deep Learning Foundations: Packt
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Deploy ML Models to Production: KodeKloud
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania

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