Join Doug Rose for an in-depth discussion in this video Regression, part of Artificial Intelligence Foundations: Thinking Machines.
- Up until now you've seen how supervised learning…can be used for classification.…You can use your neural network to classify music…into different categories.…They use human-created categories to classify…your music into jazz, blues, or even country.…Remember that this is different…from unsupervised learning.…In unsupervised learning,…you have the artificial neural network…create its own categories.…These machines create categories that may or may not…be the same as their human counterparts.…
The marching band could put country music and blues…into the same category.…Classification isn't the only form…of supervised machine learning.…You can also have your artificial neural network…use something called regression.…Regression analysis is when you look at the relationship…between a dependent variable…and many other independent variables.…When I was younger,…I used to have an apartment that overlooked Lake Michigan.…In the summer,…I could use regression analysis to see how many people…would be sitting on the beach.…
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
- The history of AI
- Machine learning
- Technical approaches to AI
- AI in robotics
- Integrating AI with big data
- Avoiding pitfalls