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  • Data Augmentation

Results for "data augmentation"


  • G

    Google Cloud

    Working with Cloud Dataprep on Google Cloud

    Skills you'll gain: Data Cleansing, Data Compilation, Data Wrangling, Data Integration, Data Transformation, Data Manipulation, Data Preprocessing, Google Cloud Platform, Excel Formulas, Self Service Technologies

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    GenAI for Data Science Teams

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Prompt Engineering, Responsible AI, Data Synthesis, Data-Driven Decision-Making, Data Preprocessing, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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

  • I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    361 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Working with Cloud Dataprep on Google Cloud: Google Cloud
  • GenAI for Data Science Teams: Coursera
  • Redacting Confidential Data within your Pipelines in Cloud Data Fusion: Google Cloud
  • Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion: Google Cloud
  • Customising your models with TensorFlow 2: Imperial College London
  • Vision Models: Train and Evaluate: Coursera
  • Deep Learning for Computer Vision: MathWorks
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Foundations of Model Optimization and Deep Learning: Packt

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