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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
    Free Trial
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    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Adversarial AI: Attacking, Defending & Governing ML Systems

    Skills you'll gain: Responsible AI, AI Security, Security Testing, Threat Modeling, Data Ethics, Cybersecurity, Penetration Testing, Cyber Governance, Cyber Attacks, Regulatory Compliance, Secure Coding, Information Privacy, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Artificial Intelligence, Machine Learning Methods

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AWS Serverless & AI/ML Project-Based Cloud Specialization

    Skills you'll gain: Serverless Computing, API Gateway, Image Analysis, Cloud-Based Integration, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, Restful API, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Extensible Languages and XML, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
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    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Foundations of Deep Reinforcement Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming, Algorithms, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI in Business

    Skills you'll gain: AI Integrations, AI Personalization, Generative AI, AI Product Strategy, Generative Model Architectures, AI Enablement, Data Integration, Customer experience strategy (CX), Strategic Thinking, Communication Planning, Innovation, Performance Analysis, Performance Measurement, Business Analysis, Project Risk Management, Project Performance, Solution Design, Business Strategies, Business Process Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Use Wakelet to Curate Learning Collections

    Skills you'll gain: Information Architecture, Education Software and Technology, Content Management, Collaborative Software

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning, NLP, and AI Applications

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

    Advanced · Course · 1 - 3 Months

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

  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Adversarial AI: Attacking, Defending & Governing ML Systems: Macquarie University
  • Learn to Choose the Right ML Model: Coursera
  • AWS Serverless & AI/ML Project-Based Cloud Specialization: EDUCBA
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Foundations of Deep Reinforcement Learning with PyTorch: Packt
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Generative AI in Business: University of Michigan
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt

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