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  • Analysis Of Parallel Algorithms

Results for "analysis of parallel algorithms"


  • Status: Free Trial
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    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, Probability & Statistics, Probability

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

    Intermediate · Course · 1 - 4 Weeks

  • E

    EIT Digital

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
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    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    F

    Fred Hutchinson Cancer Center

    Practical Steps for Building Fair AI Algorithms

    Skills you'll gain: ChatGPT, Responsible AI, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Large Language Modeling, Predictive Analytics, Machine Learning, Diversity Awareness, Health Equity, Software Documentation, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Northeastern University

    Program Structure and Algorithms Part 1

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Machine Learning, Data Structures, Performance Tuning, Data Transformation, Algorithms, Data Science

    3
    Rating, 3 out of 5 stars
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    20 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EIT Digital

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Skills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Mathematical Modeling, Applied Mathematics, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

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

  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • I/O-efficient algorithms: EIT Digital
  • Network Modeling and Analysis in Python: University of Michigan
  • Program Structure and Algorithms Part 2: Northeastern University
  • Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
  • Program Structure and Algorithms Part 1: Northeastern University
  • CUDA Advanced Libraries: Johns Hopkins University
  • Approximation Algorithms: EIT Digital
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Advanced Data Structures and Algorithms: Packt

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