Ihaka lectures 2019: Rise of the machine learners: Statistical learning in the computational era

Source:
University of Auckland
Publication date:
2019
Date:
27 March 2019, 6:00pm - 3 April 2019, 7:30pm
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Venue:
University of Auckland, PLT1 lecture theatre, ground floor, building 303, 38 Princes Street, Auckland
Speakers:
Various

27 March, Algorithmic fairness: Examples from predictive models for criminal justice Dr Kristian Lum, Human Rights Data Analysis Group (HRDAG)

The series is named after Ross Ihaka, Associate Professor in the Department of Statistics at the University of Auckland. Ross, along with Robert Gentleman, co-created R – a statistical programming language now used by the majority of the world’s practicing statisticians. It is hard to over-emphasise the importance of Ross’s contribution to our field. We named this lecture series in his honour to recognise his work and contributions to our field in perpetuity.

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13 March - Open source Machine Learning @ Waikato

Professor Bernhard Pfahringer, University of Waikato

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20 March - Machine Learning with TensorFlow and R

J.J. Allaire
RStudio

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27 March - Algorithmic fairness: Examples from predictive models for criminal justice

Dr Kristian Lum

Human Rights Data Analysis Group (HRDAG)

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3 April - Statistical learning and sparsity

Professor Robert Tibshirani

Stanford University

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See also

Ihaka Lecture Series

 

Last updated: 2016-08-30