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  • Data Augmentation

Results for "data augmentation"


  • G

    Google Cloud

    Redacting Confidential Data within your Pipelines in Cloud Data Fusion

    Skills you'll gain: Data Loss Prevention, Personally Identifiable Information, Data Pipelines, Cloud-Based Integration, Cloud Storage, Data Security, Data Integration, Data Management, Data Transformation, Cloud Management, DevOps

    Advanced · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    Skills you'll gain: Data Wrangling, Command-Line Interface, Data Transformation, Data Processing, Data Pipelines, Google Cloud Platform, Data Integration, Data Management, Database Administration

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Science Teams

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, Data Strategy, Prompt Engineering, Responsible AI, Data Quality, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    Hands-on Data Centric Visual AI

    Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Visualization (Computer Graphics), Data Validation, Deep Learning, Image Analysis, Feature Engineering, Data Manipulation, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    547 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Redacting Confidential Data within your Pipelines in Cloud Data Fusion: Google Cloud
  • GenAI for Data Scientists: Coursera
  • Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion: Google Cloud
  • GenAI for Data Science Teams: Coursera
  • Customising your models with TensorFlow 2: Imperial College London
  • Hands-on Data Centric Visual AI: University of California, Davis
  • Deep Learning for Computer Vision: MathWorks
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • Machine Learning with Small Data Part 2: Northeastern University

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