Learn about match patterns.
- Deep learning and machine learning have been supercharged…with the availability of massive amounts of data.…If you wanted to create an AI program…to identify pictures with cats,…then you'll typically have access…to millions of these images online.…You could feed your network and help it learn.…It's the same with other types of data.…You can easily get digital art, music, and documents.…Just a few decades ago,…it was extremely difficult…to get a few thousand digital images or music.…
Now it's pretty trivial to get access to all types of data.…This new treasure trove of data…has really given machine learning a huge advantage…over symbolic reasoning.…It's now much easier to have a neural network…chew on terabytes of data than it is…to have experts hard code reasoning and answers.…Remember that machine learning feeds on data…as a way to learn new things.…The more data you feed into the network,…the easy it will be for the machine to find subtle patterns.…
In some ways, it's similar to how technology evolved…on the World World Web.…
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