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  • Randomized Algorithm

Results for "randomized+algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Theoretical Computer Science, Programming Principles, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Optimizing and Deploying LLM Systems

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Algorithmic Solutions: Design, Problem Solving, Reporting

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    700 reviews

    Advanced · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Geometric Algorithms

    Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part I

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    556 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    929 reviews

    Intermediate · Course · 1 - 3 Months

1…567…9

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

  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Optimizing and Deploying LLM Systems: Edureka
  • Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Advanced Algorithms and Complexity: University of California San Diego
  • Geometric Algorithms: 28DIGITAL
  • Approximation Algorithms Part I: École normale supérieure
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University

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