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  • Parallel Algorithms In C 17

Results for "parallel algorithms in c 17"


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    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Systems Design, Algorithms, Computer Engineering, Mathematical Software, Design Software, Computer Programming Tools, Debugging, Digital Design, Software Development Tools

    4.6
    Rating, 4.6 out of 5 stars
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    557 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
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    1.3K reviews

    Beginner · Course · 1 - 3 Months

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    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Logical Reasoning, Software Development, Generative AI, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
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    639 reviews

    Intermediate · Specialization · 3 - 6 Months

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    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Model Deployment, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    101K reviews

    Beginner · Specialization · 3 - 6 Months

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    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    77K reviews

    Beginner · Course · 1 - 4 Weeks

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    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Technical Support Fundamentals

    Skills you'll gain: Computer Hardware, Technical Support, Software Installation, Technical Documentation, Hardware Troubleshooting, Customer Support, Computer Networking, System Software, Technical Communication, Computer Literacy, Linux, Microsoft Windows

    4.8
    Rating, 4.8 out of 5 stars
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    163K reviews

    Beginner · Course · 1 - 3 Months

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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    M

    Michigan State University

    Gathering and Developing the News

    Skills you'll gain: Interviewing Skills, Journalism, Research, Investigation, Ethical Standards And Conduct, Data Collection, Rapport Building, Diversity Awareness, Cultural Diversity, Social Network Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    509 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular parallel algorithms in c 17 courses

  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
  • Problem Solving Using Computational Thinking: University of Michigan
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Introduction to Data Science: IBM
  • What is Data Science? : IBM
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Game Theory: Stanford University
  • Technical Support Fundamentals: Google
  • Introduction to Machine Learning: Duke University
  • Gathering and Developing the News: Michigan State University

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