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Nagarjun Baindla
Nagarjun Baindla

Nagarjun Baindla

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From Natural Language Processing is Fun! by Adam Geitgey

Doing anything complicated in machine learning usually means building a pipeline. The idea is to break up your problem into very small pieces and then use machine learning to solve each smaller piece separately. Then by chaining together several machine learning models that feed into each other, you can do very complicated things.

From The 20 Best Examples of Using Artificial Intelligence for Retail Experiences by Forbes

Clothing store Uniqlo is pioneering the use of science and A.I. to create a unique in-store experience. Select stores have AI-powered UMood kiosks that show customers a variety of products and measures their reaction to the color and style through neurotransmitters. Based on each person’s reactions, the kiosk then recommends products. Customers don’t even have to push a button; their brain signals are enough for the system to know how they feel about each item.

Claps from Nagarjun Baindla

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Hello, world!

Cesar Valiente

9 Advanced Tips for Production Machine Learning

Aaron (Ari) Bornstein

Object-Oriented Programming Concepts “In Simple English”

Yann Mulonda