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FDP on Machine Learning and Deep Learning 2023

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Date23 Jan 202312:00 AM IST
LocationOnlineOnline
EntryPaidExternal registration
FDP on Machine Learning and Deep Learning 2023

About the event

The field of Artificial Intelligence and Machine Learning are rapidly growing and AI technology is being developed for the welfare of the human beings. Artificial Intelligence is realized through Machine Learning and Deep Learning. Machine learning is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making. Machine learning has applications in all types of industries, including manufacturing, retail, healthcare and life sciences, travel and hospitality, financial services, etc. We have witnessed technologies such as automated cyber fraud detection systems, self-driving cars, recommendation engines like Facebook, Netflix, Amazon, etc., which are used in our daily life for better living. Due to the advancement in electronic devices, the surveillance and action cameras, as well as smart phones and even old-fashioned camcorders are able to record videos at an unprecedented scale. With the recent advances in computer vision, we have the ability to mine such massive video data to obtain valuable insight about what is happening in the world. Deep learning technologies are making it possible to process and analyze vast streams of video contents. Deep Learning-driven solutions make it possible to uncover quantifiable data and trends from video metadata, to derive actionable insights for business intelligence in addition to data-driven safety, security, and operational decision making. Due to the rapid developments in the field of machine learning and deep learning, the FDP is planned to gain in-depth knowledge about machine learning and deep learning, discuss the applications and provides a platform to have hands-on experience considering various applications

Events & highlights

FDP

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Event type details

Faculty Development Program

Registration Fees

350

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