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  • Machine Learning Creative Applications

Results for "machine learning creative applications"


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Intermediate · Project · Less Than 2 Hours

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

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Advanced Analytics, Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Preprocessing, Fine-tuning, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    3.7
    Rating, 3.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), AI powered creativity, Autoencoders, Convolutional Neural Networks, Model Training, Responsible AI, Computer Vision, Music, Digital Signal Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Creative Programming for Digital Media & Mobile Apps

    Skills you'll gain: User Interface (UI), Interactive Design, Computer Graphics, Video Game Development, Mobile Development, Visualization (Computer Graphics), Web Applications, Game Design, Animations, Animation and Game Design, Musical Composition, Music, Multimedia, Graphics Software, Computer Programming, Image Analysis, Digital Signal Processing, Computer Programming Tools, Javascript

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular machine learning creative applications courses

  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Applied Machine Learning and Model Optimization: Packt
  • Evaluating and Debugging Generative AI: DeepLearning.AI
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Interpretable machine learning applications: Part 3: Coursera
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute

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