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  • Parallel Algorithm

Results for "parallel algorithm"


  • Status: Preview
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    P

    Peking University

    Java程序设计

    Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Program Development, Data Structures, Maintainability, Programming Principles, Application Programming Interface (API), C and C++, Object Oriented Design, JUnit, Test Driven Development (TDD), C++ (Programming Language), UI Components, Network Model, Algorithms, Application Development, Software Development Tools, File I/O

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Digital Forensics Concepts

    Skills you'll gain: Digital Forensics, Cybersecurity, TCP/IP, Network Protocols, Information Systems Security, General Networking, Record Keeping, Data Integrity, File Management, Ethical Standards And Conduct, Encryption

    4.7
    Rating, 4.7 out of 5 stars
    ·
    266 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    75 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Front-End

    Skills you'll gain: Front-End Web Development, Debugging, Programming Principles, Computational Thinking, GitHub, Pseudocode, Version Control, Git (Version Control System), Integrated Development Environments, Microsoft Copilot, Algorithms, Program Development, Computer Programming, Data Flow Diagrams (DFDs), C# (Programming Language)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    72 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Generative AI - Español

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering Tools, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Management

    Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    116 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Java程序设计: Peking University
  • Machine Learning Using SAS Viya: SAS
  • Digital Forensics Concepts: Infosec
  • Practical Machine Learning on H2O: H2O.ai
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Foundations of Coding Front-End: Microsoft
  • Introduction to Generative AI - Español: Google Cloud

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