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Become an AI and Machine Learning Specialist, Part I

Artificial Intelligence Foundations: Thinking Machines with Doug Rose

1h 27m • COURSE
Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations have reinvigorated the field. New sensors help machines have more accurate sight, hear sounds, and understand location. Powerful processors can help computers make complex decisions, sort through possibilities, plan outcomes, and learn from mistakes. The possibilities are thrilling; the implications are vast.

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.
Topics include:
  • The history of AI
  • Machine learning
  • Technical approaches to AI
  • AI in robotics
  • Integrating AI with big data
  • Avoiding pitfalls

 

 

 



01 Introduction



001 Welcome



02. What Is Artificial Intelligence?



002. Define general intelligence
003.The history of AI
004.Strong vs. weak AI
005.Plan AI



03. The Rise of Machine Learning



006.Machine learning
007.Artificial neural networks
008.Perceptrons



04. Finding the Right Approach



009.Match patterns
010Data vs. reasoning
011.Unsupervised learning
012.Backpropagation
013.Regression



05. Common AI Programs



014.Robotics
015.Natural language processing
016.The Internet of Things



06. Mixing with Other Technologies



017.Big data
018.Data science



07. Avoiding Pitfalls



019.Pitfalls
020.Next steps



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