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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


  • G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Data Ethics, Cloud Infrastructure, Cloud Platforms, Google Cloud Platform, Culture Transformation, Cloud Services, Cloud Computing, Technology Strategies, Cloud Computing Architecture, Cloud Security, Cloud Deployment, Data Mapping, Applied Machine Learning, Model Training, Cloud Hosting, Image Analysis, Cloud Solutions

    ★ 4.7 (7.6K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • P

    Packt

    Learning Angular: Build Production-Ready Apps

    Skills you'll gain: Angular, TypeScript, JavaScript Frameworks, UI Components, Frontend Performance, React Native, Web Applications, Front-End Web Development, React.js, Javascript, Web Development, Performance Tuning, Frontend Integration, Application Programming Interface (API), Restful API, User Interface (UI), Unit Testing

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
  • C

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, CI/CD, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    ★ 4 (12) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training

    ★ 4.6 (8) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Javascript, Responsive Web Design, Web Design and Development, Ajax, Front-End Web Development, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Web Design, Web Development, Web Development Tools, Development Environment, JSON, Web Applications, Frontend Performance, Browser Compatibility, Object Oriented Programming (OOP), Event-Driven Programming, User Interface and User Experience (UI/UX) Design

    ★ 4.7 (17K) · Beginner · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program
  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment

    ★ 5 (10) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation

    ★ 4.1 (10) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    ★ 4.9 (44) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
1…666768…834

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

  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Deep Learning - Crash Course 2023: Packt
  • Learning Angular: Build Production-Ready Apps: Packt
  • Deploying and Debugging ML Microservices: Coursera
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Keras Deep Learning Projects with TensorFlow: EDUCBA
  • AI & Deep Learning Concepts and Applications: Simplilearn

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