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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: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Mainframe Computing, Computer Architecture, Mainframe Technologies, System Programming, Computational Logic, Programming Principles, Computer Programming, Computer Science, Job Control Language (JCL)

    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

  • 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
    U

    University of Pennsylvania

    English for Journalism

    Skills you'll gain: Journalism, Research, Oral Expression, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Writing and Editing, Electronic Media, English Language, Storytelling, Language Competency, Digital Transformation, Editing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    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
    ·
    94 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Creating a Team Culture of Continuous Learning

    Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Team Management, Innovation, Teamwork, Organizational Development, Organizational Effectiveness, Organizational Leadership, Dealing With Ambiguity, Organizational Structure, Adaptability, Performance Analysis, Creativity, Discussion Facilitation, Culture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    207 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

1…747576…834

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

  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • Learning Continuous Integration with Jenkins: Packt
  • English for Journalism: University of Pennsylvania
  • Generative AI as a Learning Design Partner: University of Michigan
  • Foundations of Model Optimization and Deep Learning: Packt
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Production ML Engineering: Packaging, APIs, and Testing: Coursera
  • Fundamentals of AWS AI and ML Solutions: Whizlabs

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