Learn about pitfalls and how to avoid them.
- Artificial intelligence has been around…since the early 1950s.…Since then, research has gone up and down.…In between these bursts of interests,…there have been long cooling-off periods.…Sometimes these are called the AI winters.…Right now, machine learning and artificial neural networks…have been in an upswing.…This has led to a lot of activity around…deep learning with large datasets.…But not everyone thinks of data and pattern matching…as the surest way to intelligence.…
In fact, many people see this as an improvement…of weak artificial intelligence.…Machines are getting better at very narrow tasks.…They can identify pictures…and look for other patterns in massive datasets.…That's why it's important to really understand…the benefits of different AI approaches.…Don't assume that the most popular AI approaches…like deep learning and artificial neural networks…will be the best fit for your organization.…Remember, there was only a few decades ago…when these approaches were considered…outside the mainstream.…
It's likely that in the next few years…
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