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  • Approximation Algorithm

Results for "approximation algorithm"


  • W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    932 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • T

    Tsinghua University

    Data Structures and Algorithms (I)

    Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Computer Programming, Computer Science, Data Storage

    3.1
    Rating, 3.1 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    Tsinghua University

    Data Structures and Algorithms (IV)

    Skills you'll gain: Data Structures, Algorithms, Pseudocode, Theoretical Computer Science, Computer Programming

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 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

  • A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Agentic AI: Algorithms for Peak Performance

    Skills you'll gain: Proposal Writing, Performance Tuning, Agentic systems, Computational Thinking, Performance Analysis, Computational Logic

    Intermediate · Course · 1 - 4 Weeks

1…567…174

In summary, here are 10 of our most popular approximation algorithm courses

  • ML Algorithms: Whizlabs
  • Algorithmic Thinking (Part 1): Rice University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Prediction and Control with Function Approximation: University of Alberta
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Data Structures and Algorithms (I): Tsinghua University
  • Data Structures and Algorithms (IV): Tsinghua University
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University

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