Media Summary: In this episode of our Meet the Board series, meet An introduction to multiple output Gaussian processes via Kalman filters. Ironically a non-Gaussian effect (power cut) interrupts the ... From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor

Neil Lawrence Data Centric Engineering - Detailed Analysis & Overview

In this episode of our Meet the Board series, meet An introduction to multiple output Gaussian processes via Kalman filters. Ironically a non-Gaussian effect (power cut) interrupts the ... From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor A review of linear regression from a probabilistic modelling perspective from the Gaussian Process Road Show in Pereira, ... During this episode of The Evolving Leader podcast, co-hosts Jean Gomes and Scott Allender talk to Professor Part of a symposium to celebrate the work of Professor Sir David MacKay FRS. The symposium was held over the period 14-15 ...

An overview of multiple output covariances given at the Gaussian process Roadshow in Pereira, Colombia in 2014. Unfortunately ... Review of Bayesian regression with polynomial basis, computation of posterior density and the marginal likelihood. This talk was written in the train on the way down to Cambridge from Sheffield: I was there to examine Andrew Wilson's PhD thesis ... Spectral approaches to dimensionality reduction typically reduce the dimensionality of a Originally recorded 6th October 2020 as part of the Advances in The widespread success of deep learning in a variety of domains is being hailed as a new revolution in artificial intelligence.

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Neil Lawrence: Data-Centric Engineering Webinar Series
Meet the Board: Neil Lawrence (ELLIS Board Member | DeepMind Professor, University of Cambridge)
Neil Lawrence: Multiple Output Covariances Part I (interrupted)
Skin in the Game: Neil Lawrence on Why Human Limits Matter More Than AI Power
Neil Lawrence: Regression and Probability Part I
New Directions in Data Science: Neil Lawrence
S7 Ep13: The Atomic Human with Neil Lawrence
Brief Reminiscences I: Neil Lawrence, John Skilling, John Bridle, Graeme Mitchison
Neil Lawrence: Multiple Output Gaussian Processes Part II (no sound)
Big Questions for Neil Lawrence: How does Big Tech impact humanity?
Bristol Data & AI Showcase 2022: Understanding AI, Neil Lawrence
Neil Lawrence: Gaussian Processes Part I
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Neil Lawrence: Data-Centric Engineering Webinar Series

Neil Lawrence: Data-Centric Engineering Webinar Series

Data

Meet the Board: Neil Lawrence (ELLIS Board Member | DeepMind Professor, University of Cambridge)

Meet the Board: Neil Lawrence (ELLIS Board Member | DeepMind Professor, University of Cambridge)

In this episode of our Meet the Board series, meet

Neil Lawrence: Multiple Output Covariances Part I (interrupted)

Neil Lawrence: Multiple Output Covariances Part I (interrupted)

An introduction to multiple output Gaussian processes via Kalman filters. Ironically a non-Gaussian effect (power cut) interrupts the ...

Skin in the Game: Neil Lawrence on Why Human Limits Matter More Than AI Power

Skin in the Game: Neil Lawrence on Why Human Limits Matter More Than AI Power

From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor

Neil Lawrence: Regression and Probability Part I

Neil Lawrence: Regression and Probability Part I

A review of linear regression from a probabilistic modelling perspective from the Gaussian Process Road Show in Pereira, ...

New Directions in Data Science: Neil Lawrence

New Directions in Data Science: Neil Lawrence

In this lecture,

S7 Ep13: The Atomic Human with Neil Lawrence

S7 Ep13: The Atomic Human with Neil Lawrence

During this episode of The Evolving Leader podcast, co-hosts Jean Gomes and Scott Allender talk to Professor

Brief Reminiscences I: Neil Lawrence, John Skilling, John Bridle, Graeme Mitchison

Brief Reminiscences I: Neil Lawrence, John Skilling, John Bridle, Graeme Mitchison

Part of a symposium to celebrate the work of Professor Sir David MacKay FRS. The symposium was held over the period 14-15 ...

Neil Lawrence: Multiple Output Gaussian Processes Part II (no sound)

Neil Lawrence: Multiple Output Gaussian Processes Part II (no sound)

An overview of multiple output covariances given at the Gaussian process Roadshow in Pereira, Colombia in 2014. Unfortunately ...

Big Questions for Neil Lawrence: How does Big Tech impact humanity?

Big Questions for Neil Lawrence: How does Big Tech impact humanity?

Big Questions for

Bristol Data & AI Showcase 2022: Understanding AI, Neil Lawrence

Bristol Data & AI Showcase 2022: Understanding AI, Neil Lawrence

Neil Lawrence

Neil Lawrence: Gaussian Processes Part I

Neil Lawrence: Gaussian Processes Part I

Review of Bayesian regression with polynomial basis, computation of posterior density and the marginal likelihood.

Neil Lawrence: New Perspectives on Variational Approximations in Gaussian Processes: Modelling Data

Neil Lawrence: New Perspectives on Variational Approximations in Gaussian Processes: Modelling Data

This talk was written in the train on the way down to Cambridge from Sheffield: I was there to examine Andrew Wilson's PhD thesis ...

Neil Lawrence All Over the Map - 53rd Conversation

Neil Lawrence All Over the Map - 53rd Conversation

Neil Lawrence

Neil Lawrence: A Maximum Entropy Perspective on Spectral Dimensionality Reduction (no sound)

Neil Lawrence: A Maximum Entropy Perspective on Spectral Dimensionality Reduction (no sound)

Spectral approaches to dimensionality reduction typically reduce the dimensionality of a

Data-centric engineering and the Alan Turing Institute | Professor Andrew Blake

Data-centric engineering and the Alan Turing Institute | Professor Andrew Blake

Data

Advances in Data Science Seminar: Neil Lawrence

Advances in Data Science Seminar: Neil Lawrence

Originally recorded 6th October 2020 as part of the Advances in

Why Machines Can’t Replace Us w/ Neil Lawrence | FUTURES Podcast #83

Why Machines Can’t Replace Us w/ Neil Lawrence | FUTURES Podcast #83

Computer Scientist

The Data Delusion: Challenges for Democratising Deep Learning - Neil Lawrence, Professor of ML

The Data Delusion: Challenges for Democratising Deep Learning - Neil Lawrence, Professor of ML

The widespread success of deep learning in a variety of domains is being hailed as a new revolution in artificial intelligence.