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  • Pre Trained Models


Results for "pre-trained models"


  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Model Evaluation, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Predictive Modeling, Software Engineering, Applied Machine Learning, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Predictive Models for Financial Risk

    Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Preparing Images for AI Models

    Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • C

    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, AWS SageMaker, System Monitoring, Release Management, Application Security, Infrastructure Security, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

1234…319

In summary, here are 10 of our most popular pre-trained models courses

  • ML Model Training & Validation: Coursera
  • Optimizing Models for Production: Coursera
  • Predictive Models for Financial Risk: Coursera
  • Preparing Images for AI Models: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Production AI Model Development and Ethics: Coursera
  • Deploying Open Models: Coursera
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Build Predictive & Supervised Models: Coursera
  • Optimize Deep Learning: Tune PyTorch Models: Coursera

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