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  • Implement Responsible Machine Learning

Results for "implement+responsible+machine+learning"


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    ★ 4.3 (28) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Model Optimization, Cloud Management, Model Training, Cloud Deployment, Data Store, Data Strategy, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…6789

In summary, here are 4 of our most popular implement+responsible+machine+learning courses

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs

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