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Artificial Intelligence Algorithms Models and Limitations
  • Level Foundation
  • المدة 8 ساعات hours
  • الطبع بواسطة LearnQuest
  • Offered by

عن

We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.

الوحدات

Introduction to Specialization and course

    • 2 Videos
    • 1 Discussion
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1 Discussions

  • Course welcome

2 Videos

  • Specialization Introduction
  • Course Introduction

What's an algorithm, anyway?

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • Sorting: functions and data

1 Readings

  • Example of simple algorithms, and how to sort

Machine learning and everyday life

    • 2 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • Review of your apps that use location data

2 Videos

  • You, as a dataset
  • Weekly Review

1 Readings

  • Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret

Predictive models in theory

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • Programming the program

1 Readings

  • Example Predictive Model

Predictive models in reality

    • 2 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • New Discussion Prompt

2 Videos

  • Out of the lab: models in production
  • Weekly Review

1 Readings

  • ‘Creative ... motivating’ and fired

Optimizing models for accuracy

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • Modeling structure: accuracy and bias

1 Readings

  • Beyond Accuracy: precision and recall

Training data: a reflection of society

    • 2 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • Explore potential bias/limitations

2 Videos

  • Mirrors: training models with real data
  • Weekly Review

1 Readings

  • Image Recognition as a mirror

AI trajectory: future concerns

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • Learning machines: a future look

1 Readings

  • Open AI Charter

Toward AGI: Morals in the age of big data

    • 3 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • New Discussion Prompt

3 Videos

  • AI - Balancing morals and profit
  • Impact and Control: preparing for AGI
  • Weekly Review

1 Readings

  • Paperclip maximizer

Auto Summary

Explore the rise of algorithms and their real-world limitations in this foundational Data Science & AI course. Taught by Coursera, it covers machine learning models, ethical considerations, and practical applications over 480 minutes. Subscription options include Starter and Professional, suitable for those looking to understand AI's impact and ethical use.

Brent Summers
Instructor

Brent Summers