Editor’s note: The use of AI in LinkedIn products has been the subject of multiple press articles and research papers (some highlighted on this blog). With the release of a new LinkedIn Learning course about AI at LinkedIn, we asked our Head of AI, Deepak Agarwal, for a brief overview of what AI is and how it works, geared towards people who are interested in this growing field. In this post, we d
Machine learning is a key component of LinkedIn’s relevance-driven products. We use machine learning to train the ranking algorithms for our feed, advertising, recommender systems (such as People You May Know), email optimization, search engines, and more. For an in-depth example, check out these posts (part one and two) on how LinkedIn applies machine learning for ranking the feed. These algorith
The document discusses various aspects of scalable machine learning using Scala, emphasizing its advantages over traditional options like Pig and Java MapReduce. It highlights the importance of clean data and presents practical examples, such as word counting and classification tasks, using libraries like Scalding and Mahout. Ultimately, it advocates for a pragmatic, productive approach to data sc
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