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  • Math For Machine Learning

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


  • 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

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    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
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    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

  • Status: Preview
    Preview
    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

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

    Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    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

1…676869…834

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

  • Deep Learning - Crash Course 2023: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Learning Angular: Build Production-Ready Apps: Packt
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Support Interactive Learning with Genially: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo

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