AI/ML Research Session
Event ended

AI/ML Research Session

Online event
Saturday, Mar 28 from 4:30 pm to 5:30 pm EDT
Overview

Join us for an eye-opening session diving into the world of AI/ML research.

About This Event

Welcome to the AI/ML Research Session! Join us for an evening dedicated to the latest advancements in artificial intelligence and a deep dive into core machine learning challenges.

Whether you are a seasoned researcher, a graduate student, or an industry professional curious about the future of technology, this session is designed to foster learning and high-level technical exchange.

Technical Deep Dive: Tackling Overfitting

A central focus of this session will be a technical exploration of Overfitting. We will break down why models lose generalizability and discuss the effectiveness of various Regularization techniques, including:

  • L1 and L2 Regularization (Lasso/Ridge)
  • Dropout layers and Early Stopping
  • Data Augmentation and Batch Normalization

Agenda

  • 4:30 PM: Welcome & Research Showcase
  • 4:40 PM: Technical Deep Dive: Regularization & Overfitting
  • 5:00 PM: Open Q&A
  • 5:10 PM: Collaboration Circle – Discussing upcoming projects and research partnerships

Why Attend?

Don't miss this opportunity to connect with fellow practitioners, find potential collaborators for your next project, and stay at the forefront of AI/ML research.

We look forward to seeing you there!

Join us for an eye-opening session diving into the world of AI/ML research.

About This Event

Welcome to the AI/ML Research Session! Join us for an evening dedicated to the latest advancements in artificial intelligence and a deep dive into core machine learning challenges.

Whether you are a seasoned researcher, a graduate student, or an industry professional curious about the future of technology, this session is designed to foster learning and high-level technical exchange.

Technical Deep Dive: Tackling Overfitting

A central focus of this session will be a technical exploration of Overfitting. We will break down why models lose generalizability and discuss the effectiveness of various Regularization techniques, including:

  • L1 and L2 Regularization (Lasso/Ridge)
  • Dropout layers and Early Stopping
  • Data Augmentation and Batch Normalization

Agenda

  • 4:30 PM: Welcome & Research Showcase
  • 4:40 PM: Technical Deep Dive: Regularization & Overfitting
  • 5:00 PM: Open Q&A
  • 5:10 PM: Collaboration Circle – Discussing upcoming projects and research partnerships

Why Attend?

Don't miss this opportunity to connect with fellow practitioners, find potential collaborators for your next project, and stay at the forefront of AI/ML research.

We look forward to seeing you there!

Good to know

Highlights

  • 1 hour
  • Online

Location

Online event

Organized by
H
Halim Atoui
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Sat, Mar 28 • 4:30 pm EDT