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PyCon.DE 2018: Reproducibility, And Selection Bias In Machine Learning - Valerio Maggio

PyCon.DE 2018: Reproducibility, And Selection Bias In Machine Learning - Valerio Maggio

V. Maggio - Reproducibility, and Selection Bias in Learning

V. Maggio - Reproducibility, and Selection Bias in Learning

PyCon.DE 2018 LT: PyRant - Valerio Maggio

PyCon.DE 2018 LT: PyRant - Valerio Maggio

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias

The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation …

The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation …

Jan van der Vegt: Common pitfalls leading to wrongly estimated model performance | PD Eindhoven 2019

Jan van der Vegt: Common pitfalls leading to wrongly estimated model performance | PD Eindhoven 2019

How to mitigate ML Bias ?

How to mitigate ML Bias ?

Sundas Khalid - Bias in Data | PyData Eindhoven 2020

Sundas Khalid - Bias in Data | PyData Eindhoven 2020

PyCon Sette - Promo Video

PyCon Sette - Promo Video

PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML

PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML

PyConX Conference Welcome and Introduction

PyConX Conference Welcome and Introduction

PyData Ann Arbor: Daniel Whitenack | Scalable, Distributed, and Reproducible Machine Learning

PyData Ann Arbor: Daniel Whitenack | Scalable, Distributed, and Reproducible Machine Learning

Valerio Maggio - The unconventional Introduction to Deep Learning

Valerio Maggio - The unconventional Introduction to Deep Learning

Kaggle competitions & the future of reproducible data science NYC ML Meetup Oct 2016

Kaggle competitions & the future of reproducible data science NYC ML Meetup Oct 2016

Is AI Facing A Reproducibility Crisis?

Is AI Facing A Reproducibility Crisis?

Pycon Sei Promo

Pycon Sei Promo

Building a Reproducible Machine Learning Pipeline

Building a Reproducible Machine Learning Pipeline

Causal Inference 5 - Omitted Variable Bias

Causal Inference 5 - Omitted Variable Bias

Valerio Maggio: The Unconventional Introduction to Deep Learning

Valerio Maggio: The Unconventional Introduction to Deep Learning

Wilder Rodrigues: Improving Machine Learning Workflow | PyData Amsterdam 2019

Wilder Rodrigues: Improving Machine Learning Workflow | PyData Amsterdam 2019

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