From the course: Python Data Analysis
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A taste of machine learning - Python Tutorial
From the course: Python Data Analysis
A taste of machine learning
- [Instructor] If you're taking this course, there's a good chance you're thinking about moving on to big data and machine learning. That's a technology of huge importance to the world today. It's also a huge subject, covered by many excellent courses in the LinkedIn library, so all I want to do here is to give you a small taste of machine learning using the tools that we have discussed and using the very comprehensive scikit-learn library. The name machine learning is in fact very descriptive. It's the science of getting computers to learn from data. Machine learning covers many different tasks and use cases. Perhaps the most straightforward application of supervised learning is classification. We teach an algorithm to analyze an input and assign it to one of a few predefined classes by providing a number of examples, inputs that are already labeled. The algorithm will then try to guess the correct label for a set of unlabeled examples. That would be inference. Once more, we will use…
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