Turing's Class: The Math That Powers Machine Learning

Turing's Class: The Math That Powers Machine Learning
UpdatesDetailsAgendaSpeakersCollaborationsComments
Updates

4:12 PM Monday, 23rd Dec, 2024

4:02 PM Sunday, 22nd Dec, 2024

2:59 PM Sunday, 22nd Dec, 2024

Details

Unlock the Power of Mathematics in Machine Learning

Turing’s Class, a part of the Google ML Math Club activity hosted by Technojam at Galgotias University, is designed to equip participants with the foundational mathematical concepts required for understanding and building machine learning models. This event will focus on topics such as linear algebra, calculus, probability, and advanced mathematical techniques used in machine learning and artificial intelligence.

Over the course of 12-16 weeks, the event will provide an in-depth exploration of how these mathematical principles are applied to real-world machine learning problems, fostering a deeper understanding of the field. From vectors and matrices to gradient descent and backpropagation, attendees will engage with core topics in an interactive, hands-on format.

Who Should Attend:
This event is perfect for Computer Science and Engineering students, aspiring machine learning practitioners, and freshers who want to build a solid foundation in the mathematics behind machine learning algorithms. Participants will also have the opportunity to work on practical projects, applying the learned concepts to real-world datasets.

Why Attend:

  • Gain a strong grasp of the mathematical foundations critical for machine learning.
  • Learn from industry experts and academics in the field.
  • Participate in interactive sessions and hands-on coding challenges.
  • Work on mini-projects and gain practical experience applying ML techniques.

Join us on this exciting learning journey as we dive deep into the world of machine learning and mathematics. Whether you are new to the subject or looking to refine your understanding, Turing’s Class will provide the tools and knowledge to take your machine learning skills to the next level.

Join us on YouTube: Galgotias University TechnoJam (@teamtechnojam)

Agenda

Day 1

13:30

15:30

Math and Machines: Building the future

Day 2

14:30

16:00

Think Back, Move Forward: Mastering Backpropagation

Day 3

13:30

15:30

Data in Motion: Transitioning from Data to Networks by Dr. Jayakumar Singaram

Day 4

13:30

15:30

Transformer Models: The role of attention mechanisms and the math behind them.

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