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Interpretable machine learning applications: Part 3
  • Level Intermediate
  • Duration 3 hours
  • Offered by

Modules

Practical Application via Rhyme

    • 1 Readings
    • 1 Plugin
    • 1 Lab
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz: Test your Project understanding

1 Labs

  • Interpretable/Explainable machine learning applications: Part 3

1 Readings

  • Project-based Course Overview

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Discover the intricacies of machine learning with the course "Interpretable Machine Learning Applications: Part 3," offered by Coursera. Designed for intermediate learners in the Data Science & AI domain, this engaging, project-based course spans approximately 50 minutes, making it a concise yet comprehensive educational experience. Under the expert guidance of the instructor, you will delve into advanced explanation techniques and algorithms, specifically tailored to demystify predictions made by complex machine learning models like artificial neural networks. This course is perfect for those looking to deepen their understanding of interpretability in machine learning, and best of all, it comes with a free subscription option. Whether you're a data scientist, AI specialist, or a tech enthusiast, this course will equip you with valuable skills to enhance your machine learning projects.