ML Study Jam

ML Study Jams are community-led study groups on Google Developers' Machine Learning content, designed to improve college students' proficiency in this domain. The study jams are interactive, collaborative, and hands-on, providing learners with the opportunity to solve real-world problems and exchange ideas with peers, mentors, and experts.

Apr 9, 2023, 8:30 โ€“ 10:45 AM

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Key Themes

Explore MLKaggleML Study JamMachine LearningTensorFlow / Keras

About this event

Hey there, Techies! ๐Ÿค–

Are you ready to take on the world of Machine Learning and become an in-demand ML superstar? ๐Ÿ˜Ž

Well, we've got some exciting news for you! ๐Ÿฅณ

According to the Future of Jobs Report, Machine Learning skills are expected to be one of the worldโ€™s most in-demand skills by 2025! ๐Ÿ˜ฒ

And that's not all, on Microsoft's career page, 21% of open developer positions require "machine learning" as a skill and on Amazon's, it's a whopping 63%! ๐Ÿ“ˆ

But don't worry, we've got you covered! Introducing the ML Study Jam, an exclusive event that will teach you everything you need to know to get started in the world of Machine Learning!

And by the end of the session, you'll have the skills and knowledge needed to become a certified ML superstar! ๐Ÿ‘จโ€๐Ÿ’ป

And yes, you heard it right, all active attendees of this exclusive event will receive a certificate of completion! ๐Ÿ“œ๐Ÿคฉ

So, what are you waiting for? ๐Ÿคทโ€โ™€๏ธ

Register now and get started on the journey right now!! ๐ŸŽŸ๏ธ

Speakers

  • Amima Shifa

    Methodist College of Engineering and Technology

    AI & ML Lead

  • Gowri Sri Vani

    Methodist College of Engineering and Technology

    App development Lead

  • Syed Saarib Rasheed

    Methodist College of Engineering and Technology

    AI & ML Team Member

  • Tauseef Ali Khan

    Methodist College of Engineering and Technology

    AI & ML Team Member

  • Gulam Mahmood Qureshi

    Methodist College of Engineering and Technology

    AI & ML Team Member

  • Zareef Altaf Ahmed

    Methodist College of Engineering and Technology

    AI & ML Team Member

Facilitator

  • Amima Shifa

    Methodist College of Engineering and Technology

    AI & ML Lead

Organizers

  • Abrar Sharif

    GDSC Lead

  • Syed Saarib Rasheed

    GDSC MCET

    Co-Lead

  • Gowri Sri Vani

    Mobile Application Development Lead

  • Mohammed Abdul Rahman

    Web development Lead

  • Mohammed Uzair

    AI & ML Lead

  • Mohammed khubaib

    Cloud & DevOps Lead

  • Mohammed Adnan

    GDSC MCET

    PR-Lead

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