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    Results for "optimization algorithms"

    • U

      University of California San Diego

      Algorithms on Graphs

      Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Pseudocode, Network Model

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Melbourne

      Basic Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Network Model, Data Modeling, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      451 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Design Strategies, Analysis, Performance Testing, Scalability

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

      Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      823 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to optimization algorithms

    operations research (2): optimization algorithms
    solving algorithms for discrete optimization
    离散优化算法篇 solving algorithms for discrete optimization
    1…789…161

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

    • Algorithms on Graphs: University of California San Diego
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Data Science: Johns Hopkins University
    • Basic Modeling for Discrete Optimization: The University of Melbourne
    • Design and Analysis of Algorithms: Clemson University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Data Science Foundations: IBM
    • Graph Search, Shortest Paths, and Data Structures: Stanford University
    • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University

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