Artificial Intelligence Algorithms Models and Limitations
- Offered byCoursera
Artificial Intelligence Algorithms Models and Limitations at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Artificial Intelligence Algorithms Models and Limitations at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 4 in the Ethics in the Age of AI Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 8 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Artificial Intelligence Algorithms Models and Limitations at Coursera Course details
- 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.
Artificial Intelligence Algorithms Models and Limitations at Coursera Curriculum
Getting Started: Algorithms
Specialization Introduction
Course Introduction
Sorting: functions and data
You, as a dataset
Weekly Review
Example of simple algorithms, and how to sort
Your Apps Know Where You Were Last Night, and They?re Not Keeping It Secret
Knowledge Check
Knowledge Check
Weekly Quiz
AI and Model Outcomes
Programming the program
Out of the lab: models in production
Weekly Review
Example Predictive Model
?Creative ... motivating? and fired
Knowledge Check
Knowledge Check
Weekly Quiz
Rules for AI: training and constraints
Modeling structure: accuracy and bias
Mirrors: training models with real data
Weekly Review
Beyond Accuracy: precision and recall
Image Recognition as a mirror
Knowledge Check
Knowledge Check
Weekly Quiz
Ethical AI: Cause and Effect
Learning machines: a future look
AI - Balancing morals and profit
Impact and Control: preparing for AGI
Weekly Review
Open AI Charter
Paperclip maximizer
Knowledge Check
Knowledge Check
Weekly Quiz
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