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  • Math For Machine Learning

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


  • 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

    Category: Free
    Free
  • C

    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

    Category: New
    New
    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
  • C

    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

    Category: Preview
    Preview
  • C

    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 (100) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • 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 (141) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • P

    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: Free Trial
    Free Trial
  • P

    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

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

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Model Training, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Methods, Machine Learning Algorithms, Scientific Visualization, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Content Creation for TikTok, YouTube, Instagram, Facebook

    Skills you'll gain: TikTok, Video Production, Photo/Video Production and Technology, Content Creation, Content Scheduling, Web Analytics and SEO, Photography, Content Development and Management, Social Media Campaigns, Social Media Marketing, Content Performance Analysis, Social Media Content, Driving engagement, Social Media, Search Engine Optimization, Video Editing, Videography, Brand Marketing, Social Media Analytics, Visual Storytelling

    ★ 3.9 (51) · Beginner · Professional Certificate · 3 - 6 Months

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Project Performance, Design, Software Installation

    ★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
1…737475…834

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

  • Use Wakelet to Curate Learning Collections: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Learn to Choose the Right ML Model: Coursera
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Generative AI in Business: University of Michigan
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Foundations of Model Optimization and Deep Learning: Packt
  • Compare Models with Experiments in Azure ML Studio: Coursera
  • Content Creation for TikTok, YouTube, Instagram, Facebook: Coursera

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