From the course: Introduction to Artificial Intelligence

Applying AI to solve problems

From the course: Introduction to Artificial Intelligence

Applying AI to solve problems

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- In this course, you got an overview of the technology behind artificial intelligence. You saw the field started with key concepts, such as the general problem solver and symbolic reasoning. Then you saw how machine learning got a slow start, but then quickly became a dominant field in AI. You got an overview of machine learning concepts and technology. You've seen how several different machine learning algorithms can help learn from massive data sets. You also saw how artificial neural networks could be used with machine learning to get deeper insights and find complex patterns. Finally, you saw how your network uses back propagation to learn from its mistakes and improve its accuracy. I hope that throughout the course, you got a sense for how to apply some of these technologies to help solve complex problems. You should also think about some of the ethical challenges behind AI. Is it okay to have machines make decisions about your health, welfare, and financial credit? These decisions could come from a black box, where you have no idea what the machine understood. If you're interested in these issues, I've also created a Data Ethics series, which might be a good follow-up to this course. As always, please feel free to follow me on LinkedIn. There, you'll see articles and links about artificial intelligence, data ethics, and key business challenges. Thank you for watching this introduction to artificial intelligence.

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