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  • Creating Models With Different Algorithms

Results for "creating models with different algorithms"


  • Status: New
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    E

    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Production AI Model Development and Ethics

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    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: New
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    Pragmatic AI Labs

    AI Tooling Capstone: Serverless Multi-Model Systems

    Skills you'll gain: Serverless Computing, Amazon Bedrock, AI Workflows, Prompt Engineering, YAML, AI Integrations, AI Orchestration, LLM Application, Model Deployment, Amazon Web Services, Generative Model Architectures, Model Evaluation, Rust (Programming Language), Large Language Modeling, Open Source Technology

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Model Optimization, Python Programming, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Model Training, Generative AI, Data Preprocessing, Model Optimization, Fine-tuning, PyTorch (Machine Learning Library), Machine Learning, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Create Image Captioning Models

    Skills you'll gain: Image Analysis, Generative Model Architectures, Model Training, Deep Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular creating models with different algorithms courses

  • Generative AI Models and GPU Systems: Edureka
  • Optimizing Models for Production: Coursera
  • Production AI Model Development and Ethics: Coursera
  • Advanced Model Architectures & Language AI: Coursera
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
  • AI Tooling Capstone: Serverless Multi-Model Systems: Pragmatic AI Labs
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Deploy ML Models to Production: KodeKloud

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