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  • Randomized Algorithm

Results for "randomized algorithm"


  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Trading, Financial Systems, Mathematical Modeling, Numerical Analysis, Equities, Applied Mathematics, Financial Data, Correlation Analysis, Python Programming, Process Optimization, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Concurrent Programming with GPUs

    Skills you'll gain: C++ (Programming Language), System Programming, Hardware Architecture, Programming Principles, Computer Architecture, Data Access, Program Development, Algorithms, Python Programming, Computer Programming Tools, Data Sharing, Development Environment

    2.6
    Rating, 2.6 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    Intel® AI Fundamentals

    Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, AI Product Strategy, Customer Insights, Technology Solutions, Generative AI, Emerging Technologies, Responsible AI, Machine Learning, B2B Sales, Hardware Architecture, Computer Hardware, Business Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    763 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Real-Time Embedded Systems Concepts and Practices

    Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Hardware Architecture, Electronic Systems, System Programming, Operating Systems, Ubuntu, Linux, System Requirements, System Design and Implementation, C (Programming Language), Algorithms

    3.9
    Rating, 3.9 out of 5 stars
    ·
    96 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science Methods

    Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    350 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    179 reviews

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    436 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    63 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    204 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    320 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    683 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to randomized algorithm

divide and conquer, sorting and searching, and randomized algorithms
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In summary, here are 10 of our most popular randomized algorithm courses

  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Basic Image Classification with TensorFlow: Coursera
  • Introduction to Concurrent Programming with GPUs: Johns Hopkins University
  • Intel® AI Fundamentals: Intel
  • Real-Time Embedded Systems Concepts and Practices: University of Colorado Boulder
  • Computational Social Science Methods: University of California, Davis
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Linear Regression with Python: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • DevOps, DataOps, MLOps: Duke University

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