Serg Masis Interpretable Machine Learning With Python

Introduction on Serg Masis Interpretable Machine Learning With Python

One of the biggest challenges facing the adoption of ... interpretability, responsible AI, behavioral economics and the author of the book “ You can't understand that you can't measure and the way In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for

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Serg Masis: Most models are never tested for fairness
SDS 539: Interpretable Machine Learning — with Serg Masís
Mitigating Bias with the XAI Toolbox - Serg Masis
DSS Break: Interpretable Machine Learning and Why it Matters
XAI: Learning Fairness with Interpretable Machine
AISOC Workshop: Scaling Machine Learning Reliability with Interpretability - Serg Masis
Serg Masís - Interpretable Machine Learning | Data Scientist at Syngenta #10
Serg Masis talks about his frustrations with responsible AI
Human Judges vs AI - Serg Masis
Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability
Alexander Engelhardt: Interpretable Machine Learning: How to make black box... | PyData Berlin 2019

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Last Updated: May 21, 2026

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Serg Masis - Interpretable Machine Learning with Python

Serg Masis - Interpretable Machine Learning with Python

PyData Chicago December Meetup

Editorial 59:05 4,369 views 24 Juli 2025

Interpretable Machine Learning with Python | Serg Masís I Book Tour

Interpretable Machine Learning with Python | Serg Masís I Book Tour

Understand the key aspects and challenges of

Editorial 11:03 693 views 02 Mei 2026

Interpretable Machine Learning with Serg Masis

Interpretable Machine Learning with Serg Masis

Serg Masis

Editorial 2:02:09 215 views 23 Maret 2026

#98 Interpretable Machine Learning (with Serg Masis)

#98 Interpretable Machine Learning

One of the biggest challenges facing the adoption of

Editorial 50:54 768 views 04 Maret 2026

Serg Masis: Most models are never tested for fairness

Serg Masis: Most models are never tested for fairness

He's the author of

Editorial 10:01 25 views 08 Januari 2026

SDS 539: Interpretable Machine Learning — with Serg Masís

SDS 539: Interpretable Machine Learning — with Serg Masís

InterpretableML #

Editorial 59:59 732 views 01 Februari 2026

Mitigating Bias with the XAI Toolbox - Serg Masis

Mitigating Bias with the XAI Toolbox - Serg Masis

Links: - Collab: https://

Editorial 1:02:12 517 views 05 Oktober 2025

DSS Break: Interpretable Machine Learning and Why it Matters

DSS Break: Interpretable Machine Learning and Why it Matters

... interpretability, responsible AI, behavioral economics and the author of the book “

Editorial 17:22 74 views 26 Agustus 2025

XAI: Learning Fairness with Interpretable Machine

XAI: Learning Fairness with Interpretable Machine

... Learning Fairness with

Editorial 1:00:26 5,567 views 13 Desember 2025

AISOC Workshop: Scaling Machine Learning Reliability with Interpretability - Serg Masis

AISOC Workshop: Scaling Machine Learning Reliability with Interpretability - Serg Masis

You can't understand that you can't measure and the way

Editorial 1:42:06 60 views 24 Maret 2026

Serg Masís - Interpretable Machine Learning | Data Scientist at Syngenta #10

Serg Masís - Interpretable Machine Learning | Data Scientist at Syngenta #10

Our guest today is

Editorial 1:02:28 256 views 19 Februari 2026

Serg Masis talks about his frustrations with responsible AI

Serg Masis talks about his frustrations with responsible AI

AI Conversations -

Editorial 48:16 99 views 13 Juli 2025

Human Judges vs AI - Serg Masis

Human Judges vs AI - Serg Masis

Serg Masis

Editorial 1:15 26 views 27 Februari 2026

Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability

Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability

In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for

Editorial 28:07 59,392 views 26 Februari 2026

Alexander Engelhardt: Interpretable Machine Learning: How to make black box... | PyData Berlin 2019

Alexander Engelhardt: Interpretable Machine Learning: How to make black box... | PyData Berlin 2019

Speaker: Alexander Engelhardt Track:PyData Complex

Editorial 31:02 611 views 21 September 2025