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  • Ml Explainability

Results for "ml explainability"


  • Status: New
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    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Coursera

    Engineer, Validate, and Govern ML Data

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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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, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

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

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter

    Intermediate · Course · 1 - 3 Months

1234…117

In summary, here are 10 of our most popular ml explainability courses

  • Production-Ready Multimodal ML Engineering: Coursera
  • Engineer, Validate, and Govern ML Data: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Track and Evaluate ML Model Experiments: Coursera
  • Databricks Machine Learning Fundamentals: Coursera
  • Build & Optimize TensorFlow ML Workflows: Coursera

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