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  • Mathematical Optimization

Mathematical Optimization Courses

Mathematical optimization courses can help you learn linear programming, integer programming, and nonlinear optimization techniques. You can build skills in formulating optimization problems, analyzing constraints, and applying algorithms to find optimal solutions. Many courses introduce tools like Python, R, and MATLAB, which are used to implement optimization models and analyze data effectively.

Popular Mathematical Optimization Courses and Certifications


  • U

    University of Cambridge

    Astronomy and Cosmology: Exploring the Universe

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Computer Programming Tools, Visualization (Computer Graphics), Applied Mathematics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Star Schema, Power BI, Data Modeling, Data Analysis Expressions (DAX), Model Optimization, Snowflake Schema, Database Design, Performance Tuning, Data Analysis, Business Intelligence, Data Visualization, Time Series Analysis and Forecasting

    4.3
    Rating, 4.3 out of 5 stars
    ·
    835 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Introduction to Machine Learning

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Network Analysis, Neurology, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    AI LLM Fundamentals: Intro to Large Language Models+ChatGPT

    Skills you'll gain: Prompt Engineering, Fine-tuning, LLM Application, Large Language Modeling, ChatGPT, Generative AI, Generative Model Architectures, Machine Learning Methods, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Model Training, Deep Learning, AI literacy, Natural Language Processing, Model Optimization, AI Workflows, Convolutional Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Developing the SIR Model

    Skills you'll gain: Epidemiology, Infection Control, Infectious Diseases, Mathematical Modeling, Public Health and Disease Prevention, Public Health, R Programming, Differential Equations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    275 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Master Dialogflow CX Agents

    Skills you'll gain: Webhook Security, AI Integrations, Application Programming Interface (API), Restful API, Generative AI Agents, Prompt Engineering, Node.JS, Natural Language Processing, Model Evaluation, Scenario Testing, Debugging, Performance Tuning, Model Optimization, Real Time Data, Quality Assurance, Routing Protocols, Data Import/Export, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular mathematical optimization courses

  • Astronomy and Cosmology: Exploring the Universe: University of Cambridge
  • Introduction to Computer Science and Programming: University of London
  • Data Modeling in Power BI: Microsoft
  • Deep Learning with Keras and Tensorflow: IBM
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Introduction to Machine Learning: Birla Institute of Technology & Science, Pilani
  • Computational Neuroscience: University of Washington
  • AI LLM Fundamentals: Intro to Large Language Models+ChatGPT: Packt
  • Developing the SIR Model: Imperial College London
  • Master Dialogflow CX Agents: Coursera

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