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  • Fundamental Concepts In Optimization

Results for "fundamental concepts in optimization"


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Essentials of Sensory Science

    Skills you'll gain: Experimentation, Product Testing, Laboratory Testing, Laboratory Experience, Food and Beverage, Consumer Behaviour, Scientific Methods, Systems Of Measurement, Case Studies, Quality Assurance, Physiology, Research Design, Usability Testing, Science and Research, Data Collection, Statistical Analysis, Nutrition and Diet, Human Factors, Anatomy, Product Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Basic Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Problem Solving, Enterprise Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    455 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 1: Foundations of Robot Motion

    Skills you'll gain: Robotics, Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Matlab, Computer Programming Tools, Physics, Angular

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Dimensionality Reduction, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Optimizing Foundation Models

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Amazon Web Services, Agentic systems, Performance Tuning, Transfer Learning, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Basic Engineering Mathematics

    Skills you'll gain: Engineering Calculations, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Mathematical Foundations for Cryptography

    Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    334 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular fundamental concepts in optimization courses

  • Essentials of Sensory Science: University of California, Davis
  • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
  • Fundamentals of Reinforcement Learning: University of Alberta
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • AI for Design and Optimization: University of Michigan
  • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
  • Foundational Mathematics for AI: Johns Hopkins University
  • Optimizing Foundation Models: Amazon Web Services

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