The second episode of our second season of explainer videos is up at work. In this epsisode we look at the popular machine learning technique Learning to Rank and how it uses user behavior and signals to refine search results:
You can binge-watch all of season two of Lucid Thoughts or jump on back to watch season one.
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“In the present scenario, revolutionized applications access multiple servers and databases, creating a flurry of machine-to-machine traffic like never before and altering conventional traffic patterns. Additionally, in an era of digital transformations, with ever changing network usage pattern, ML enables network administrators to deploy intelligent and adaptive network infrastructures. These self-learning networks are able to gather data from various network nodes and generate networking models that are regenerative and self-healing. Consequently, the rate of adoption of networks powered by machine learning is exuberant, as it finds its application throughout all the major industry verticals. Major adopters being manufacturing; banking, financial services and insurance (BFSI); utilities; retail; telecom; and healthcare. These industries are riddled with legacy systems that are being swept across by a new age of digital transformation.”
Machine Learning Apps Replace Enterprise Legacy Systems