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  • Parallel Algorithms In C 17

Results for "parallel algorithms in c 17"


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    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Statistical Methods, Data Preprocessing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Cloud Application Development Foundations

    Skills you'll gain: Cloud-Native Computing, Node.JS, React Redux, Cloud Computing Architecture, CI/CD, Cloud Applications, Cloud Services, Cloud Development, Cloud Deployment, NoSQL, HTML and CSS, MongoDB, Server Side, Agile Methodology, Hypertext Markup Language (HTML), JavaScript Frameworks, Full-Stack Web Development, Front-End Web Development, DevOps, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    S

    Saïd Business School, University of Oxford

    AI and Production

    Skills you'll gain: Intellectual Property, Media Production, Responsible AI, Regulation and Legal Compliance, Large Language Modeling, AI Product Strategy, Data Ethics, Media Strategy, Journalism, AI Workflows, Compliance Management, Artificial Intelligence, Digital Content, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Innovation, Business Strategy, Digital Transformation, Digital Advertising, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn)

    Skills you'll gain: Learning Strategies, Lifelong Learning, Critical Thinking and Problem Solving, Time Management, Cognitive flexibility, Productivity, Growth Mindedness, Stress Management, Self-Awareness, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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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, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Generative AI, Oral Expression, Large Language Modeling, Ideation, Artificial Intelligence, Scenario Testing, Business Correspondence, Productivity, Complex Problem Solving, Report Writing, Organizational Skills, Solution Design, Document Management, Critical Thinking, Software Versioning, Context Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.9K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Process Images, Create Captioning AI Models

    Skills you'll gain: Image Analysis, Data Preprocessing, Computer Vision, Visualization (Computer Graphics), Data Transformation, Python Programming, NumPy, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Maximize Productivity With AI Tools

    Skills you'll gain: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Beginner · Course · 1 - 3 Months

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

  • IBM Machine Learning: IBM
  • Cloud Application Development Foundations: IBM
  • AI and Production: Saïd Business School, University of Oxford
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn): Deep Teaching Solutions
  • Data Analysis with R: Duke University
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Google Prompting Essentials: Google
  • Building and Optimizing AI Models : Coursera

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