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Artificial Intelligence Algorithms Models and Limitations

Approx. 8 hours to complete

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Course Summary

This course covers the limitations and challenges of AI algorithms, and provides insights into how to design and improve them.

Key Learning Points

Learn about the limitations and challenges of AI algorithms
Explore techniques for designing and improving AI algorithms
Gain insight into the ethical considerations of AI algorithms

Learning Outcomes

Understand the limitations and challenges of AI algorithms
Learn techniques for designing and improving AI algorithms
Gain insight into the ethical considerations of AI algorithms

Prerequisites or good to have knowledge before taking this course

Basic knowledge of AI and machine learning
Familiarity with programming languages such as Python

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures
Quizzes and assignments

Similar Courses

Advanced AI Algorithms
AI Ethics

Related Education Paths

Notable People in This Field

Elon Musk
Demis Hassabis

Related Books

Description

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.

Outline

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

Summary of User Reviews

This AI algorithm limitations course received positive reviews from many users who found it informative and engaging. They appreciated the instructor's clear explanations and the course's focus on real-world applications.

Key Aspect Users Liked About This Course

The course's focus on real-world applications

Pros from User Reviews

Instructor provides clear explanations
Content is informative and engaging
Course materials are well-organized
Real-world examples and case studies are provided

Cons from User Reviews

Some users found the course too basic
Not enough focus on advanced topics
Some users had technical issues with the platform
The course may not be suitable for those with advanced knowledge in AI

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