Use of Machine Learning on Facebook – State Technologies

With over 2.4 billion monthly active users & growing, it is impossible to handle these active users without machine learning. Ever wonder how Facebook suggests the list of people “You may know”. It reads your interests & likes, your friends & also their friends, and analyze your profile with its machine learning algorithms. Facebook uses machine learning in many aspects lets talk about some of them.

Facebook was initially built for connecting people across the world using an image, video, and text. People from different countries speak different languages so it was necessary to remove the communication barrier. Facebook uses an automatic language translation system that enabled people to interact with different languages.

If you recently upload a pic it suggests you add a tag, and send a notification to tagged person if someone uploads your photo it will send you a notification immediately. Facila recognization is among the aspect of Facebook for machine learning.

Facebook uses DeepText which is a text engine based on deep learning that can understand thousands of posts in a second in more than 20 languages.
Not just facial recognization Facebook also use news feed, textual analysis, and targeted advertising,

HP SL270s

In 2013, Facebook begins its initial deployments with the HP SL270s G8 system for AI research. Because of the additional presentation of the most recent age NVIDIA Tesla V100 GPU quickening agents, we likewise redesigned the head-hub to Tioga Pass for extra CPU execution and multiplied the PCIe data transfer capacity between the CPUs and GPUs. Source From Facebook.

Facebook uses FacebookLearner for its machine learning pipeline.

You have a business and you also want to analyze data you can use a wide range of Nvidia products like-

Quadro RTX 8000

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