What is the shape of your big data? While we do love to talk about the size of our big data—terabytes, petabytes, and beyond—perhaps we are not paying due recognition to the shape of it. Big data comes in a variety of shapes. The Extract-Transform-Load (ETL) workflows are more or less stripe-shaped (left panel in the figure above) and produce an output of a...
machine learning Articles
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- Topics:
- Big Data,
- machine learning,
- data science,
- Analytics
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Co-authors: Rushi Bhatt and Bari Saltman LinkedIn’s home feed is the starting point of a member’s journey on LinkedIn. Millions of members see the feed as their first impression. The feed is also instrumental to delivering on LinkedIn’s core value propositions: it allows members to stay connected with their network by following network activities, to build their...
- Topics:
- relevance,
- machine learning,
- Feed Personalization
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Coauthors: Alexandre Patry, Diego Buthay One of the responsibilities of the LinkedIn Feed team is to deliver news and information in the most efficient way possible for today’s professionals. Tackling this challenge for LinkedIn’s more than 467 million members in a noisy, information-saturated environment poses unique challenges in search, scale, and relevance...
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Coauthors: Shivani Rao, Gungor Polatkan We recently launched LinkedIn Learning, an online learning platform that enables students and...
- Topics:
- machine learning,
- relevance,
- Product Design
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Editor’s note: We are just starting to recognize the pervasive, yet subtle, ways that machine learning algorithms influence our lives,...
- Topics:
- machine learning,
- engineering culture
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Authors: Qi He, Bee-Chung Chen, Deepak Agarwal A shorter version of this post first appeared on Pulse, our main publishing platform at...
- Topics:
- machine learning,
- data science,
- knowledge graph