Все публикации

0:40:57

Reproducibility, Jupyter notebooks and associated research software engineering - Hans Fangohr

0:37:40

FI2NI: Data Visualisation with Python – Mr Samuel Munday

0:28:10

FI2NI: Data Visualisation in Publishing & Communication – Dr Sarah Callaghan

0:53:21

FI2NI: Introduction to Data Visualisation – Dr Rita Borgo

0:56:19

FI2NI: (Reproducible) Data Viz with R & how to make interactive things with R - Charlie Hadley

0:34:44

AI4SD ECR: Introduction to ED&I and development of your code of conduct – Debra Fearnshaw

0:24:22

AI4SD ECR: Transitioning to Industry: A Long, Short Road – Will Bowers

0:15:37

AI4SD ECR: Create a Killer CV – Robert Bowles

0:10:58

AI4SD ECR: Research to Startup – Mr Samuel Munday

0:17:34

AI4SD ECR: Introduction to EPSRC and Funding Opportunities – Dr Liam Boyle

0:15:37

AI4SD ECR: Opportunities for ECRs in the Royal Society of Chemistry – Robert Bowles

0:51:28

SciData: Semantic Representation of Scientific Data and Applications in Chemistry - Stuart J. Chalk

0:02:37

AI4SD2022: Conference Highlights

0:13:41

AI4SD2022: AI Insights from Billions of Dollars of Ready-Cleaned Data – Dr Will Bowers

1:35:31

ML2: Estimation with Machine Learning - Mahesan Niranjan

0:59:26

ML3: Classification and Clustering - Mahesan Niranjan

1:17:54

ML5: Radial Basis Functions and Multi-Layer Perceptrons - Mahesan Niranjan

0:57:32

ML4: Linear Regression to Perceptron Convergence - Mahesan Niranjan

0:34:17

ML1: Mathematical Foundations for ML - Mahesan Niranjan

0:30:34

AI4SD2022: Interpreting Opacity - Dr Will McNeill

0:18:09

AI4SD2022: AI standardization to enable digital development – Emelie Bratt (BSI)

0:06:47

AI4SD2022: The Summer School, but not as we know it! – Dr Martin Elliott

0:16:53

AI4SD2022: Bayesian Optimisation in Chemistry – Rubaiyat Khondaker

0:14:30

AI4SD2022: Making music with automated processes and AI for the AI3SD Network - Mubin Kazmi