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  • Workflow Of Machine Learning Projects

Results for "workflow of machine learning projects"


  • Status: Free Trial
    Free Trial
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    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
    Free Trial
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    Coursera

    Optimizing AI Workflows and Deploying Edge Models

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Continuous Delivery, Test Automation, CI/CD, Continuous Integration, Technical Documentation, Unit Testing, API Design, Application Programming Interface (API), Maintainability, Version Control, Package and Software Management, Code Review, Verification And Validation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Reproduce and Evaluate AI Research Workflows

    Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Data Maintenance, Analysis, Workflow Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), API Design, CI/CD, Software Quality Assurance, Code Review

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Jupyter, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Restful API, CI/CD, Scalability, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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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 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

  • Status: Free Trial
    Free Trial
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    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

1234…834

In summary, here are 10 of our most popular workflow of machine learning projects courses

  • Natural Language Processing with Real-World Projects: Packt
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Production ML Engineering: Packaging, APIs, and Testing: Coursera
  • Reproduce and Evaluate AI Research Workflows: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Deploy & Optimize ML Services Confidently: Coursera

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