Discovery Day 2- ML Study Jam

Sharda University - Greater Noida, India

Are you interested in taking your knowledge of machine learning to the next level? Then join us for an enlightening 6 days of Machine Learning study jam!

Apr 7, 2023, 4:00 – 5:00 PM

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Key Themes

ML Study JamMachine Learning

About this event

Get ready to take the plunge into the exciting world of machine learning! Our comprehensive and interactive study jam will teach you everything you need to know about supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning.

With immersive lectures and lively discussions, you'll quickly gain a strong foundation in machine learning concepts. By the end of the study jam, you'll be equipped with a thorough knowledge and understanding of the real life and ethical applications of machine learning.

Don't miss out on this chance to dive deep and discover the incredible potential of machine learning!!!

AGENDA FOR DAY-2

SPEAKER- SUSHANT KUMAR

  • Introduction to Machine Learning.
  • Types of Machine Learning, Applications of Machine Learning.
  • Basic Concepts of Machine Learning, Supervised learning.
  • Introduction to Python and NumPy for Machine Learning.

Speaker

  • Sushant Kumar

    Google Developer Student Clubs - Sharda University

    Data Science lead (2022-23)

Facilitators

  • Harshit Kesharwani

    Google Developer Student Clubs - Sharda University

    GDSC Lead 2022-23

  • Ujjwal Deep

    Google Developer Student Clubs - Sharda University

    Co lead (2022- 23)

  • Sushant Kumar

    Google Developer Student Clubs - Sharda University

    Data Science lead (2022-23)

  • Rohit Chandra Joshi

    Google Developer Student Clubs - Sharda University

    Machine Learning Lead (2022-23)

Partner

Sharda University logo

Sharda University

Organizers

  • Amita Singh

    Sharda University

    GDSC Lead

  • Ujjwal Mahar

    Co-Lead & Cloud Lead

  • Sushant Kumar

    Machine Learning Lead

  • Laxmi Yadav

    Open Source Lead

  • Pratyush Sinha

    DSA Lead

  • Lakshya Sinha

    Designing Lead

  • Yukti Arora

    GDSC Sharda University

    Event Management Lead

  • Sanskriti Verma

    Content Lead

  • Mohd. Raza Khan

    Sharda University

    Graphic Designer

  • Jayanti Kumari

    Graphic Designer

  • Vanshika Yadav

    Social Media Manager

  • Harsh Deep

    PR Lead

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