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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
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    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    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: Free Trial
    Free Trial
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    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
    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
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    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Prompt Engineering, Education Software and Technology, Course Development, ChatGPT, AI literacy, Instructional Design, LLM Application, Curriculum Planning, AI Integrations, Brainstorming, Artificial Intelligence, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
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    94 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    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
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: 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 Trial
    Free Trial
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    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: 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: New
    New
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    Packt

    Learning Continuous Integration with Jenkins

    Skills you'll gain: Continuous Deployment, Continuous Integration, Jenkins, CI/CD, Continuous Delivery, Cloud-Native Computing, Devops Tools, SonarQube, DevOps, Artifactory, Kubernetes, Infrastructure as Code (IaC), Cloud Deployment, AI Integrations, Containerization, ChatGPT, Authentications, Agile Methodology, Git (Version Control System), Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Agentic systems, Model Training, Model Optimization

    Beginner · Course · 1 - 4 Weeks

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

  • Engineer, Validate, and Govern ML Data: Coursera
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Use Wakelet to Curate Learning Collections: Coursera
  • Generative AI as a Learning Design Partner: University of Michigan
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Adversarial AI: Attacking, Defending & Governing ML Systems: Macquarie University
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Generative AI in Business: University of Michigan
  • Foundations of Deep Reinforcement Learning with PyTorch: Packt

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