Transparent Machine Learning With Drools

Media Summary: Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious ... Short summary: In this live-stream session we'll discuss the past, present and future of rules engines and the technologies that ... In this video, we break down knowledge distillation, the technique that powers models like Gemma 3, LLaMA 4 Scout & Maverick, ...

Transparent Machine Learning With Drools - Detailed Analysis & Overview

Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious ... Short summary: In this live-stream session we'll discuss the past, present and future of rules engines and the technologies that ... In this video, we break down knowledge distillation, the technique that powers models like Gemma 3, LLaMA 4 Scout & Maverick, ... Resources ▭▭▭▭▭▭▭▭▭▭▭ Code: Book: ... There are two broad categories of systems: analytical systems and operational systems. Databricks is primarily known for the ... What AI can do nowadays is simply mind-blowing. I must admit that I cannot stop being surprised and sometimes literally jumping ...

FOSDEM 2010 Hacking conference , , , , , . From Snort to Yarra to Zeek (formerly known as Bro), network traffic rule engines have an important role in a threat hunter's ...

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Transparent Machine Learning (with Drools and AIX360)

Techniques for ML Model Transparency and Debugging

[KIELive#51] TrustyAI: Ensuring the Fairness and Transparency of Decision Models

Machine Learning + Decision Management, a standards based approach (DEMO)

[KieLive#21] Drools Deep Dive, with Mario Fusco

[KieLive#12] Business Rules and Decision Engines: past, present and future - with Edson Tirelli

Knowledge Distillation: How LLMs train each other

Explainable AI explained! | #3 LIME

Building Operational Systems on Databricks (with Andre Landgraf)

[VDTRIESTE24] Machine Learning + Symbolic Reasoning - Conference by Nicole Prentzas and Mario Fusco

drools

Machine Learning Meets Regex Rule Engine

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Transparent Machine Learning (with Drools and AIX360)

Transparent Machine Learning (with Drools and AIX360)

Companion blog post: https://blog.kie.org/2022/09/

Techniques for ML Model Transparency and Debugging

Techniques for ML Model Transparency and Debugging

Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious ...

[KIELive#51] TrustyAI: Ensuring the Fairness and Transparency of Decision Models

[KIELive#51] TrustyAI: Ensuring the Fairness and Transparency of Decision Models

See pitfalls found within

Machine Learning + Decision Management, a standards based approach (DEMO)

Machine Learning + Decision Management, a standards based approach (DEMO)

This is a demo extract from the talk: "

[KieLive#21] Drools Deep Dive, with Mario Fusco

[KieLive#21] Drools Deep Dive, with Mario Fusco

In this session Mario will illustrate

[KieLive#12] Business Rules and Decision Engines: past, present and future - with Edson Tirelli

[KieLive#12] Business Rules and Decision Engines: past, present and future - with Edson Tirelli

Short summary: In this live-stream session we'll discuss the past, present and future of rules engines and the technologies that ...

Knowledge Distillation: How LLMs train each other

Knowledge Distillation: How LLMs train each other

In this video, we break down knowledge distillation, the technique that powers models like Gemma 3, LLaMA 4 Scout & Maverick, ...

Explainable AI explained! | #3 LIME

Explainable AI explained! | #3 LIME

Resources ▭▭▭▭▭▭▭▭▭▭▭ Code: https://github.com/deepfindr/xai-series Book: ...

Building Operational Systems on Databricks (with Andre Landgraf)

Building Operational Systems on Databricks (with Andre Landgraf)

There are two broad categories of systems: analytical systems and operational systems. Databricks is primarily known for the ...

[VDTRIESTE24] Machine Learning + Symbolic Reasoning - Conference by Nicole Prentzas and Mario Fusco

[VDTRIESTE24] Machine Learning + Symbolic Reasoning - Conference by Nicole Prentzas and Mario Fusco

What AI can do nowadays is simply mind-blowing. I must admit that I cannot stop being surprised and sometimes literally jumping ...

drools

drools

FOSDEM 2010 Hacking conference #hacking, #hackers, #infosec, #opsec, #IT, #security.

Machine Learning Meets Regex Rule Engine

Machine Learning Meets Regex Rule Engine

From Snort to Yarra to Zeek (formerly known as Bro), network traffic rule engines have an important role in a threat hunter's ...

[KieLive#17] Understanding DRL (Drools Rule Language)

[KieLive#17] Understanding DRL (Drools Rule Language)

0:00 Introduction 8:23