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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

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Model Evaluation, Reinforcement Learning, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Operations (MLOps)

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Public Cloud, Microservices, Devops Tools

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Deploying Machine Learning Models

    Skills you'll gain: Model Deployment, Data Manipulation, MLOps (Machine Learning Operations), Web Frameworks, Model Evaluation, Applied Machine Learning, Flask (Web Framework), Data Preprocessing, Django (Web Framework), Web Applications, Model Optimization, Data Cleansing, AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    54 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    229 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universitat Politècnica de València

    Basic Math: Derivatives

    Skills you'll gain: Calculus, Advanced Mathematics, Algebra, Derivatives, Applied Mathematics, Trigonometry, Geometry

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Model Optimization, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Active Machine Learning with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Data Preparation & Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

1…171819…834

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

  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Machine Learning Operations (MLOps): Board Infinity
  • Deploying Machine Learning Models: University of California San Diego
  • Deep Learning with PyTorch : Image Segmentation: Coursera
  • AI For Everyone: DeepLearning.AI
  • Basic Math: Derivatives: Universitat Politècnica de València
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Core Machine Learning & Evaluation: Packt

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