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  • Parallel Algorithms In C 17

Results for "parallel algorithms in c 17"


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    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

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    A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

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    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

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    4.6
    Rating, 4.6 out of 5 stars
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    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    I

    IBM

    Applied Data Science

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Matplotlib, Predictive Modeling, Data Cleansing, Data Science, Programming Principles, Python Programming, Machine Learning

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    4.6
    Rating, 4.6 out of 5 stars
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    61K reviews

    Beginner · Specialization · 3 - 6 Months

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    G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    4.8
    Rating, 4.8 out of 5 stars
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    121K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Data Visualization Software, Data Preprocessing, Data Cleansing, Cloud Computing, Python Programming

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    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

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    Status: AI skills
    AI skills
    I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Data Engineering, Data Warehousing, Database Design, Database Administration, Extract, Transform, Load, Apache Airflow, Web Scraping, Relational Databases, Linux Commands, SQL, Database Management, Data Pipelines, Apache Kafka, Bash (Scripting Language), Database Architecture and Administration, Shell Script, Data Store, Generative AI, Data Import/Export, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    S

    Sciences Po

    Politics and Economics of International Energy

    Skills you'll gain: Oil and Gas, Energy and Utilities, Climate Change Mitigation, International Relations, Environmental Issue, Electric Power Systems, Natural Resource Management, Environmental Policy, Economics, Political Sciences, Market Dynamics, Sustainable Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

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    Free Trial
    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
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Cloud-Native Computing, Istio, Software Architecture, Node.JS, React Redux, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Django (Web Framework), Git (Version Control System), HTML and CSS, Server Side, Generative AI, Cloud Computing, Data Import/Export, Engineering Software

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    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Factorial and Fractional Factorial Designs: Arizona State University
  • IBM AI Foundations for Business: IBM
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • IBM AI Developer: IBM
  • Applied Data Science: IBM
  • Foundations: Data, Data, Everywhere: Google
  • Introduction to Data Science: IBM
  • IBM Relational Database Administrator with GenAI: IBM
  • Politics and Economics of International Energy: Sciences Po

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