What is “the mind” and what is artificial intelligence?
- 4.4
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Approx. 8 hours to complete
Course Summary
This course explores the intersection of mind, machine, and artificial intelligence. Students will learn the foundations of AI, including machine learning and deep learning, and how they can be applied to real-world problems.Key Learning Points
- Gain a deep understanding of AI and its applications
- Learn the fundamentals of machine learning and deep learning
- Develop the skills to apply AI to real-world problems
Related Topics for further study
Learning Outcomes
- Gain a foundational understanding of AI and its applications
- Develop skills in machine learning and deep learning
- Apply AI to real-world problems
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge
- Familiarity with calculus and linear algebra
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
Similar Courses
- Applied Data Science with Python
- Introduction to Machine Learning
Related Education Paths
Related Books
Description
In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
Knowledge
- Describe the details of the Turing test, including its purpose, limitations, and potential impact.
- Describe the details of Searle’s Chinese Room thought experiment, including its purpose, limitations, and potential impact.
- Discuss previous and current attempts to create artificial systems that can pass the Turing Test in various domains.
- Compute and outline the limitations of exponential and factorial growth functions.
Outline
- Introduction
- The Lure and Eeriness of Machine Life
- Introduction
- Tests and Thought Experiments
- The Turing Test
- Please excuse video interference
- "Computing Machinery and Intelligence" by A.M. Turing
- "Minds, brains, and programs" by John Searle
- Visual Turing test
- Musical Turing Test
- Turing Test
- Content Quiz - Searle
- Your Results
- Did you guess right?
- A Hard Problem
- The Computational Metaphor of Mind
- "The Nature of Mental States" by Hilary Putnam
- The Mind as Software
- Cognitive Problems in Computational Terms
- What Makes a Problem Hard, Part 1
- What Makes a Problem Hard, Part 2
- What Makes a Problem Hard, Part 3
- Please excuse video interference
- Exponential Growth and Decay
- Optional: The Power of Exponential Growth
- What Makes a Problem Hard?
- Basic Computational Problem Solving
- The Traveling Salesman
Summary of User Reviews
Discover the fascinating world of artificial intelligence with Mind, Machine, and Artificial Intelligence. This course provides a comprehensive overview of AI and its applications, with engaging lectures and interactive exercises. Users love the course content and find it to be a valuable resource for expanding their knowledge of AI.Key Aspect Users Liked About This Course
The course content is comprehensive and engaging.Pros from User Reviews
- Provides a comprehensive overview of AI and its applications.
- Engaging lectures and interactive exercises.
- Valuable resource for expanding knowledge of AI.
- Great introduction to machine learning and neural networks.
- Good balance of theory and practical applications.
Cons from User Reviews
- Some of the concepts may be difficult to understand for beginners.
- The exercises can be challenging.
- The course may be too basic for those with advanced knowledge of AI.
- The course could benefit from more real-world examples.
- Some users found the course to be too theoretical.
David Quigley
4.4 Raiting
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