By Russell Jurney, Consultant and machine learning engineer. We are witnessing a data labeling market explosion: labeling platforms have hit…
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Why Partnerships Beat Outsourcing In Data Labeling
Data labeling is a critical part of AI. This essential process takes not only more than 25% of time and…
Continue ReadingUnderstanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!)
Overview A fascinating deep dive into the problem of how many classes should you use in a classification problem The…
Continue ReadingHow Data Labeling Facilitates AI Models
By Nandhini TS, X-tract. ioIt was 5 minutes past 7:00 in the morning. I had been working on this very…
Continue ReadingIntroducing Snorkel
Introducing SnorkelHow this Tiny Project Solves One of the Major Problems in Real World Machine Learning SolutionsJesus RodriguezBlockedUnblockFollowFollowingJan 30Building high…
Continue ReadingWith These New Additions, AWS SageMaker is Starting to Look More Real for Data Scientists
This week during the re:Invent conference, AWS announced a series of new releases that bring its SageMaker platform closer to…
Continue ReadingLabeling Unstructured Text for Meaning to Achieve Predictive Lift
They often try to use standard NLP techniques (such as tokenization, stemming, parts-of-speech tagging, parsing, named entity recognition, etc.). But…
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