Enhancing Neural Networks with Logic Based Rules
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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👉 Learn more about Data Science Dojo here:
https://datasciencedojo.com/
👉 Watch the latest video tutorials here:
https://datasciencedojo.com/tutorials/
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie...
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At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
--
🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/
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
——-
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
———–
👉 Learn more about Data Science Dojo here:
https://datasciencedojo.com/
👉 Watch the latest video tutorials here:
https://datasciencedojo.com/tutorials/
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie…
—
At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
—
🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/
