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  • No Code Ml

Results for "no-code ml"


  • C

    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Optimize and Evaluate Your No-Code Automation

    Skills you'll gain: Performance Tuning, No-Code Development, Business Process Automation, Operational Analysis, Automation, Performance Analysis, Process Improvement and Optimization, System Monitoring, Business Workflow Analysis, Process Optimization, Operational Efficiency, Maintainability, Workflow Management, Project Performance, Scalability, Analysis, Solution Architecture, Data-Driven Decision-Making, Strategic Decision-Making, System Implementation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate AI: Streamline No-Code App Responses

    Skills you'll gain: AI Security, LLM Application, Application Development, No-Code Development, AI Enablement, OAuth, Application Programming Interface (API), Real Time Data, Key Management, Authentications, Data Integration, User Interface (UI), Authorization (Computing), Live Streaming, User Interface and User Experience (UI/UX) Design, Automation, Scalability

    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

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing

    Intermediate · Course · 1 - 4 Weeks

Searches related to no-code ml

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In summary, here are 10 of our most popular no-code ml courses

  • Debug ML Code: Fix, Trace & Evaluate: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Apply Test-Driven ML Code: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Optimize and Manage Your ML Codebase: Coursera
  • Optimize and Evaluate Your No-Code Automation: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Integrate AI: Streamline No-Code App Responses: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Engineer, Validate, and Govern ML Data: Coursera

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