ML Starter Pack: A Comprehensive Guide to Machine Learning

Unlock the power of machines to learn from data and make predictions that will transform your world! Join in for a thrilling ride through the fundamentals of machine learning with live demos to help you get started for the upcoming sessions in this series.

Apr 22, 2023, 5:00 – 6:00 PM



Key Themes

Explore MLGoogle CloudML Study JamMachine LearningTensorFlow / Keras

About this event

Are you ready to take your first steps into the exciting world of machine learning? In this engaging session, you'll learn about feature engineering, regression, classification, supervised and unsupervised learning, and the amazing capabilities of neural networks. It will provide a technical overview of the inner workings of these concepts, and how they can be applied in real-world scenarios. You will gain a deeper understanding of the algorithms and techniques underpinning machine learning through live experiments and practical demonstrations. Overall, this session is designed for beginners to help get started quickly in this Career Transition: From Software to ML Engineer series.


  • Maísa Wolff Resplande

    GDSC Lead

  • Gavin Abeele

    Vice Lead

  • Oleksandr Levinskyi


  • Emil Harvey

    Executive Lead

  • Cyril Kamal

    Executive Lead

  • Sanjay Sekar Samuel

    Executive Lead

  • Oscar Pinzon

    Executive Lead

  • Jun Cai

    Executive Lead

  • Ryan Dooley

    Executive Lead

  • Anish Reddy

    Executive Lead

  • Owen Garland

    Executive Lead

  • Michelle Gordon

    Executive Lead

  • Aniedi Udo-Obong

    Regional Leader

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