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Prabhav Agrawal
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About

Prabhav Agrawal

Prabhav Agrawal is a Machine Learning Engineer in Facebook AI’s Speech team. He has 5+ years experience researching and creating AI powered products across leading companies such as Apple and Microsoft. At Apple, he led the efforts for creating Siri Voice experiences across devices including iPhone, Apple Watch and HomePod as part of the Text-to-Speech team. At Microsoft, he focused on improving search relevance and infrastructure for Bing Search, and also co-led the project for including Dictation as part of MS Office and Windows, starting from a hackathon prototype. Prabhav earned his Master's in Computer Science from University of California San Diego and his Bachelor's in Electrical Engineering from Indian Institute of Technology Delhi.

Apr
05
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2021

Getting Started with Data Science #2

This ACM select highlights several resources about the data science fundamentals and best practices, and compares across different frameworks and tools to help you apply data science in your field.
Feb
16
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2021
Computing in Practice Series

AI for Robotics

Advancements in Artificial Intelligence (AI) allow machines to function increasingly independently of remote control. Our selections briefly cover relevant articles regarding Reinforcement Learning and user experience design for robotics, as well as discussions on applications being used today.
Jan
21
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2021
Community Development Series

People of Computing #3: Computer Vision

In this People in Computing ACM Selects, we aim to recognize four outstanding Computer Scientists whose careers and contributions to Computer Vision highlight meaningful aspects of the field.
Dec
09
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2020
Community Development Series

Spotlight on Computing in India

Spotlight on Computing in India Select is a starting point to showcase stories that provide insight into the evolution of computing in India.
Nov
03
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2020
Getting Started Series

Getting Started with Data Science

There is a large gap between exploratory data science and building an intelligent application that continually learns from the data it encounters to provide business value. In this ACM Select, we highlight content to ease the transition from research to production and illuminate the hurdles you may come across in your journey.
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