From the course: Artificial Intelligence Foundations: Machine Learning
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Examining additional learning algorithms
From the course: Artificial Intelligence Foundations: Machine Learning
Examining additional learning algorithms
- [Instructor] You've learned how to solve classification and regression problems with supervised learning using real world examples. Machines also learn using another machine learning technique called unsupervised learning. If you recall, unsupervised learning doesn't use label data to teach the machine. Instead, it groups or interprets unlabeled data. This form of machine learning creates the most buzz and excitement, because the machine has to figure things out independently. This is like teaching my daughter how to write a resume. There are two options. I can either give her examples of resumes to follow, which is like supervised learning, she'll find trends and patterns and use what she's learned to produce a new resume, or I can take an unsupervised learning approach by having her write out all of her prior job experiences, awards, schools, and certifications, and then allow her to use her creativity to self-organize that data based on commonalities. She may uncover new…
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Understanding learning algorithms and model training4m 8s
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Exploring learning algorithms for classification4m 27s
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Reviewing learning algorithms for regression5m 23s
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Examining additional learning algorithms4m 25s
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Training a custom machine learning model5m 2s
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Demo: Training a custom machine learning model7m 39s
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