From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips
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What are machine learning models? - Azure Tutorial
From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips
What are machine learning models?
- [Instructor] Before we dive into creating machine learning models, it's important for you to understand what exactly machine learning models are. Machine learning is a subset of artificial intelligence. You can think of machine learning as the process of a computer learning data without human intervention. For example, giving a computer images of dogs and cats for it to learn the difference so that when it receives a new image, it can tell us if the image is of a dog or a cat. A machine learning model is a file that has been trained to learn the data. In our example here, a model is developed to help the computer process the dog and cat images. Machine learning is typically divided into two types, supervised machine learning and unsupervised machine learning. In supervised machine learning, the data has known labels, while in unsupervised machine learning, it does not. Let's consider these two examples to show…
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Create machine learning models: Domain overview1m 55s
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Data exploration and analysis using Python4m 10s
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What are machine learning models?1m 38s
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Understanding the types of machine learning models2m 15s
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Machine learning model training and evaluation1m 4s
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