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  • Data Parallelism

Results for "data parallelism"


  • Status: Free Trial
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    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Application Deployment, Linux, Software Development Methodologies, Software Design Patterns, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    A

    AI CERTs

    Prompt Engineering Mastery

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    C

    Coursera

    Build an AI-Powered App with Claude

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security, Security Management, Information Systems Security Assessment Framework (ISSAF), Network Security, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Ethical Standards And Conduct, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    40K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    820 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Data Analysis, Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    943 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    890 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data parallelism courses

  • Applied Software Engineering Fundamentals: IBM
  • Prompt Engineering Mastery: AI CERTs
  • Build an AI-Powered App with Claude: Coursera
  • Foundations of Cybersecurity: Google
  • Supervised Machine Learning: Regression: IBM
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Doing More with SAS Programming: SAS
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Getting Started with SAS Visual Analytics : SAS

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