Search for tag: "weights"

AI & Storytelling, Invited Lecture for Abertay University - The Feels Wheel

AI & Storytelling, Invited Lecture for Abertay University, February 5th 2024 - The Feels Wheel: Building a Sentiment Analysis model

From  Pavlos Andreadis 1 likes 8 plays 0  

Machine Learning Practical - Week 9 (Live 2022-23)

Machine Learning Practical Week 9, Part 1 of 2 on Recurrent Neural Networks. Live lecture from 2022-23.

From  Pavlos Andreadis 0 likes 14 plays 0  

What are the benefits of data?

for 'The Power of Data in Farm Animal Practice' Course Course website: https://edin.ac/farm-data

From  Charlotte Gresham 0 likes 57 plays 0  

An Introduction to weighing

Module 2: An Introduction to Weighing by Ross Robertson | Agri-EPI Timestamps:0:00 - Intro0:45 - How do we use data?1:50 - Weighing cattle3:16 - Manual vs technological record keeping3:41 -…

From  Eoghan Clarkson 0 likes 58 plays 0  

Data Tutorial: Use of weight data for broiler chickens and laying hens

by Cynthia Naydani | The Power of Data in Farm Animal Practice Timestamps: 0:00 - Recap 0:38 - Recording weights using bulk weighing - Setting up spreadsheet 1:28 - Recording…

From  Chris Smith 0 likes 29 plays 0  

Weight data for broiler and layers

Lecture by Dr Laura Dixon Timestamps: 01:20 - How to collect weight data 02:01 - Manual Weighing04:20 - Data Processing04:50 - Average Bird Weight Example05:58 - Flock Uniformity Example…

From  Charlotte Gresham 0 likes 47 plays 0  

AML: Non-Linear Dimensionality Reduction - Visualisation

Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2

From  Siddharth N 1 likes 366 plays 0  

AML: Optimisation - Gradient Descent

Applied Machine Learning - INFR11211 AML: Optimisation - Gradient Descent Part 2/3

From  Siddharth N 1 likes 444 plays 0  

AML: Optimisation - ML Optimisation

Applied Machine Learning - INFR11211 AML: Optimisation - ML Optimisation Part 1/3

From  Siddharth N 0 likes 448 plays 0  

AML: Logistic Regression - Logistic Regression

Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3

From  Oisin Mac Aodha 2 likes 557 plays

On the strength of semi-algebraic proof systems - Ilario Bonacina

Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation On the strength of semi-algebraic proof systems UPC Universitat Politècnica de Catalunya Ilario Bonacina

From  Iain Cms 0 likes 2 plays 0  

The Mizohata--Takeuchi conjecture: an overview - Tony Carbery

Fourier Analysis @200 The Mizohata--Takeuchi conjecture: an overview Tony Carbery, University of Edinburgh 27 June 2022 This talk is being subtitled. This process typically takes around two…

From  Iain Cms 0 likes 127 plays 0  

Volumes of Moduli Spaces of Flat Bundles over Surfaces and the Verlinde Formula - Arzu Boysal

Bundles and Conformal Blocks with a Twist Volumes of Moduli Spaces of Flat Bundles over Surfaces and the Verlinde Formula Arzu Boysal (Bogazici University) 17 June, 2022

From  Iain Cms 0 likes 3 plays 0  

The Verlinde Formula and K-Theory of the Moduli Space of Parabolic Vector Bundles - Olga Trapeznikova

Bundles and Conformal Blocks with a Twist The Verlinde Formula and K-theory of the Moduli Space of Parabolic Vector Bundles Olga Trapeznikova (University of Geneva) 15 June, 2022

From  Iain Cms 0 likes 23 plays 0  

Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett

Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022

From  Iain Cms 0 likes 38 plays 0  

Classifying representations in conformal field theory via the combinatorics of symmetric functions - Simon Wood

VISS online seminar series Simon Wood (Cardiff) Classifying representations in conformal field theory via the combinatorics of symmetric functions 27 October 2021 To remove the captions from this…

From  GILLIAN KERR 0 likes 18 plays 0