Enhancing Neural Networks with Logic Based Rules | Machine Learning | Community Webinar @Datasciencedojo
Enhancing Neural Networks with Logic Based Rules | Machine Learning | Community Webinar  @Datasciencedojo
Uploaded August 2025 | Updated September 2026, 2 weeks ago
Build Smarter, More Transparent AI with Neuro-Symbolic Techniques

Learn how combining neural networks with logic-based rules enhances AI performance, transparency, and control. This session explores real-world use cases in healthcare, finance, and automation, and includes a hands-on demo of building interpretable, logic-driven models.

What You’ll Learn:

- How logic improves AI decision-making
- Key differences between symbolic reasoning and deep learning
- Real-world applications across industries
- A step-by-step model walkthrough
- Resources to start using Neuro-Symbolic AI in your projects
- Interactive Q&A and live demo included.

#NeuroSymbolicAI #ArtificialIntelligence #MachineLearning #DeepLearning #SymbolicAI #AITransparency #ExplainableAI #ResponsibleAI #AIApplications #FutureOfAI
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Table of Content:
00:00 – Introduction
01:20 – The Problem with Neural Networks
03:30 – Strengths & Weaknesses of Neural vs. Symbolic AI
05:30 – Why Neuro-Symbolic AI Matters
07:20 – System Architecture Overview
10:00 – Use Cases (Healthcare & Finance)
12:30 – Live Demo: Fraud Detection with Neuro-Symbolic AI
30:00 – Results & Comparison
35:00 – Q&A + Closing Remarks
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