Labeling Unlabeled Dataset | Introduction to Programmatic Labeling | Data Annotation | Part 1/2
As aspiring data scientists, we often take labeled data for granted. Those of you who are working in the industry or academia would know how hard it is to get labeled data for your specific Machine Learning problem. In fact, there are hundreds of startups in the market today that provide data labeling services and actually charge you for it.
So, the big question really is: How do I get labeled data for my next big Machine Learning Project?
Do I manually annotate it, which might take a lifetime? Or,
Do I hire a data labeling company, which might put a hole in my pocket?
Well, there is indeed a third option available, called: Programmatic Labeling
Programmatic Labeling is: immensely scalable, and is absolutely free of cost.
🔥 Programmatic Labeling Series
Part 1: • Labeling Unlabeled Dataset | Introduction ... [This video]
Part 2: • YouTube Spam Prediction Machine Learning P...
Link to Jupyter Notebook: https://colab.research.google.com/dri...
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