due to paternity

Past Events

Oct. 31 - Nov. 2, 2023

ODSC West 2022 (San Francisco, CA) πŸ‡ΊπŸ‡Έ


"Facial Recognition from Scratch with Python and JS" (workshop)

Oct. 24, 2023

MLOps World + Generative AI World Summit 2023 (Austin, TX) πŸ‡ΊπŸ‡Έ

MLOps World

"Quality Assurance (QA) in Machine Learning" (talk)

June 19-22, 2023

ML Conference Munich 2023 πŸ‡©πŸ‡ͺ

ML Conference

"Interpreting NLP Transformers" (session)
"Introduction to Explainable AI" (workshop)

May 24-25, 2023

Infoshare 2023 (GdaΕ„sk) πŸ‡΅πŸ‡±


"DIY AI: Facial Recognition from Scratch" (session)
"QA for AI" (talk)

May 11-12, 2023

Data Innovation Summit 2023 (Stockholm) πŸ‡ΈπŸ‡ͺ

Data Innovation Summit

"QA for AI systems" (talk)

Apr 27, 2023

DeveloperWeek Europe 2023 πŸ‡ͺπŸ‡Ί


"QA for AI Systems" (keynote)

May 9, 2023

KMD Steam 2023 (Copenhagen) πŸ‡©πŸ‡°


"Come play with AI! The Importance of Play in Machine Learning" (talk)

April 26, 2023

Semantic Layer Summit 2023 πŸ‡ΊπŸ‡Έ

Semantic Layer

"Data & Analytics Governance Strategies for Driving Growth & Preventing Anarchy" (panel)

March 7, 2023

Convergence 2023 πŸ‡ΊπŸ‡Έ

ML Convergence

"QA for AI Systems" (talk)

Dec. 1, 2022

ML Berlin Hybrid Conference 2022 πŸ‡©πŸ‡ͺ

ML Conference

"Making Machine Learning Models Attack-Proof with Adversarial Robustness" (workshop)

Nov. 11, 2022

Build Stuff 2022 (Vilnius, Lithuania) πŸ‡±πŸ‡Ή

Build Stuff

"Adventures in Puppy Training with A.I. and a Raspberry Pi" (talk)

Nov. 2, 2022

ODSC West 2022 (San Francisco, CA) πŸ‡ΊπŸ‡Έ


"Enhance Trust with Machine Learning Model Error Analysis" (workshop)

August 18, 2022

Code PaLOUsa 2022 (Louisville, KY) πŸ‡ΊπŸ‡Έ

Code PaLOUsa

"QA for AI systems" (talk)

June 30, 2022

ML Summit Munich 2022 πŸ‡©πŸ‡ͺ

ML Summit

"Making Machine Learning Models Attack-Proof with Adversarial Robustness" (workshop)
"How XAI will quietly revolutionize AI" (keynote)

June 29, 2022

Geekle Data Science Global Summit 2022 πŸ‡ΊπŸ‡ΈπŸ‡ͺπŸ‡Ί


"The Data Science Journey: Myths and Tips" (talk)

June 14, 2022

WeAreDevelopers World Congress 2022 πŸ‡©πŸ‡ͺ


"A.I. is NOT Software!" (talk)

May 3, 2022

DTC Online Event πŸ‡©πŸ‡ͺ


"Mitigating Bias with the XAI Toolbox" (workshop)

April 20, 2022

Data Science Salon Virtual πŸ‡ΊπŸ‡Έ


"How XAI will quietly revolutionize AI" (talk)

April 19, 2022

ODSC East 2022 (Boston, MA) πŸ‡ΊπŸ‡Έ


"Adversarial Robustness: How to make Artificial Intelligence models attack-proof!" (workshop)

March 26, 2022

WinHacks 2022 πŸ‡¨πŸ‡¦


"Starting your Data science Journey: Myths and Tips" (talk)

Feb. 8, 2022

AI Dev Conference @ DeveloperWeek πŸ‡ΊπŸ‡Έ


"Making Machine Learning Models Attack-Proof with Adversarial Robustness" (tutorial)

Dec. 23, 2021

SuperDataScience Podcast #539 πŸ‡ΊπŸ‡Έ


"Interpretable Machine Learning" (podcast)

Dec. 4, 2021

Live Sessions by Experts πŸ‡§πŸ‡ͺ


"Mitigating Bias with the XAI Toolbox" (tutorial)

Nov. 13, 2021

Great North DevFest 2021 πŸ‡¨πŸ‡¦

Google Developer

"XAI is the new AI" (talk)
"PANEL: Responsible AI" (panel)

Nov. 5, 2021

WUR AI Workshop 2021 πŸ‡³πŸ‡±

Wageningen University & Research

"Crop stage forecasting with Machine Learning and Causal Inference" (talk & panel Q&A)

Nov. 3, 2021

Ai4 2021 Enterprise πŸ‡ΊπŸ‡Έ


"Interpretable Machine Learning for Model Tuning" (lightning talk)

Oct. 13, 2021

AIExpo 2021 πŸ‡ΊπŸ‡Έ


"Path to Artificial General Intelligence" (panel)

Oct. 11, 2021

Global AI Conference 2021 πŸ‡ΊπŸ‡Έ

Global Big Data Conf

"What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making" (business talk)

Sep. 30, 2021

Strangeloop 2021 (St. Louis, MO) πŸ‡ΊπŸ‡Έ


"Mitigating Bias in ML Models with Constraints" (workshop)

July 8, 2021

A.I. Access Series πŸ‡―πŸ‡΅πŸ‡ΊπŸ‡Έ

DeepLearning.ai (in collaboration with Machine Learning Tokyo & KPMG Ignition Tokyo)

"XAI: Learning Fairness with Interpretable Machine" (keynote)

April 19, 2021

ML Summit Berlin 2021 πŸ‡©πŸ‡ͺ

ML Summit

"Interpretable Multivariate Forecasting with Deep Learning" (workshop)

April 10, 2021

DataScienceGO Virtual April 2021 πŸ‡ΊπŸ‡Έ


"Fairness with Interpretable Machine Learning" (workshop)

April 8, 2021

Python for ML and AI Global Summit 2021 πŸ‡ΊπŸ‡ΈπŸ‡ͺπŸ‡Ί


"The Importance of Interpretable Machine Learning" (talk & panel Q&A)

March 24, 2021

Aggregate Intellect ML Interpretability Stream πŸ‡¨πŸ‡¦


"XAI with Monotonic Constraints & Interaction Constraints" (keynote)

Feb. 27, 2021

Machine Learning Prague 2021 πŸ‡¨πŸ‡Ώ

ML Prague

"Ensuring Machine Learning Fairness with Monotonic Constraints" (workshop)

Feb. 20, 2021

DSGO Connect February 2021 πŸ‡ΊπŸ‡Έ


"The Importance of Incorporating Interpretation in Machine Learning Workflows" (keynote)

Oct. 30, 2020

Open Data Science Conference West 2020 πŸ‡ΊπŸ‡Έ


"Interpretable Machine Learning with Python: Interpreting & Improving Fairness for Recidivism Risk Assessments" (workshop)

Sep. 13, 2019

Strangeloop 2019 (St. Louis, MO) πŸ‡ΊπŸ‡Έ


"Assistive Augmentation: Lip Reading with AI" (talk)

Sep. 6, 2019

8th Light University πŸ‡ΊπŸ‡Έ


"Assistive Augmentation: Lip Reading with AI" (keynote)