Introduction to Machine Learning and Deep Learning

LT 3.1 A, IIT (BHU) Varanasi, Varanasi, 221005

Learn about Machine Learning and Deep Learning and about its various applications in Astronomy. Google Developer Student Club IIT BHU, in collaboration with the Astronomy Club IIT BHU, is here to help you! Welcome to the first ML in Astronomy series. Delve deeper into the algorithms and how to use them to analyze various cosmic events! Mark your Calendar on 23rd Sept 2023, 4:00 PM - 5:00 PM IST

Sep 23, 2023, 10:30 – 11:30 AM

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Key Themes

Explore MLKaggleML Study JamMachine Learning

About this event

The Google Developer Student's Club IIT BHU is in collaboration with the Astronomy Club IIT BHU to present an out-of-this-world opportunity!

Introducing our joint venture: the ML in Astronomy Workshop Series!

Get ready to explore the captivating synergy between Machine Learning and Astronomy. This isn't your ordinary lecture; it's a hands-on cosmic adventure. You'll be diving into ML applications in Astronomy and flexing your coding skills, so be sure to bring your trusty laptop.

No Prerequisites Needed: Your enthusiasm and curiosity are your passports to this cosmic journey.

Event Details:

Date: 23rd September, 2023

Time: 4:00 PM - 5:00 PM IST

Venue: LT 3.1A (for offline attendees) and virtually for online attendees

So, what are you waiting for? Secure your seat among the stars by RSVPing this event. This is your golden ticket to the cosmos!

Join us as we embark on this thrilling astronomical adventure together. We can't wait to see you at the workshop!

When

When

Saturday, September 23, 2023
10:30 AM – 11:30 AM UTC

Speakers

  • Vansh Gupta

  • Yash Agrawal

Facilitator

  • Prayash Dash

Organizers

  • Ankur Patil

    GDSC Lead

  • Paarth Agarwal

    Core Team

  • Yash Somalkar

    Core Team

  • Manash Kumar

    Core Team

  • Eshaan Aggarwal

    Open Source Enthusiast

    Core Team

  • Vaibhav Tripathi

    Core Team

  • Bhav Khurana

    Core Team

  • Chirag Goel

    Core Team

  • Deepshikha Sinha

    Core Team

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