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528 results

OpenMDAO
Understanding XDSM diagrams

XDSM diagrams are a good tool for visualizing models, understanding solver loops, and specifying interfaces between models ...

16:40
Understanding XDSM diagrams

5,222 views

3 years ago

J David Eisenberg
Chapter 10: UML Diagrams

Design classes with Unified Modeling Language Diagrams.

1:17
Chapter 10: UML Diagrams

228 views

4 years ago

Jeremy Howard
Lesson 3: Practical Deep Learning for Coders 2022

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

1:30:25
Lesson 3: Practical Deep Learning for Coders 2022

150,911 views

3 years ago

VaNTAGe
Kevin Buzzard, On the ingredients for Fermat

VaNTAGe Seminar, April 30, 2024 License: CC-BY-NC-SA Link to Lean/FLT GitHub repo: ...

56:42
Kevin Buzzard, On the ingredients for Fermat

1,966 views

1 year ago

Jeremy Howard
Lesson 7: Practical Deep Learning for Coders 2022

00:00 - Tweaking first and last layers 02:47 - What are the benefits of using larger models 05:58 - Understanding GPU memory ...

1:46:43
Lesson 7: Practical Deep Learning for Coders 2022

53,197 views

3 years ago

Houston FPUG
Eric Normand, "On Domain Modeling"

Abstract: Domain modeling is crucial for writing correct and well-designed programs. In this talk, we will dive into the more ...

1:04:28
Eric Normand, "On Domain Modeling"

189 views

5 months ago

Algorithmic Simplicity
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

31:51
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

294,055 views

1 year ago

OpenMDAO
Debugging your optimizations, part 1

Optimization of complicated multidisciplinary systems is not easy. By following this systematic debugging procedure you can ...

12:08
Debugging your optimizations, part 1

1,673 views

3 years ago

R Consortium
Bootstrapping Multilevel Models in R using lmeresampler

This video is part of the virtual useR! 2021 conference. Find supplementary material on our website https://user2021.r-project.org/.

5:26
Bootstrapping Multilevel Models in R using lmeresampler

1,281 views

4 years ago

Yeyu Lab
AutoGen + Custom Model + Gemma (or Any Model), Here is the Ultimate Solution

In this video, I would like to provide you a quick guide for using any custom models including Gemma in AutoGen by ...

14:42
AutoGen + Custom Model + Gemma (or Any Model), Here is the Ultimate Solution

1,822 views

1 year ago

OpenMDAO
Practical MDO: Course Introduction

Hello and welcome to Practical MDO! This is the introductory lecture in a series of lessons on how to perform efficient ...

8:05
Practical MDO: Course Introduction

5,366 views

3 years ago

Greg Wilson / It Will Never Work in Theory
Allison Sullivan: Proofreading the proofreader: the benefits of unit tests for software models.

Allison is an Assistant Professor at the University of Texas at Arlington.

13:52
Allison Sullivan: Proofreading the proofreader: the benefits of unit tests for software models.

129 views

2 years ago

Mikko Rönkkö
Recursive and non-recursive models

The important thing about estimating and identification is that the models on the left-hand side are always identified. And they can ...

3:06
Recursive and non-recursive models

3,951 views

6 years ago

Jeremy Howard
Lesson 5: Practical Deep Learning for Coders 2022

00:00:00 - Introduction 00:01:59 - Linear model and neural net from scratch 00:07:30 - Cleaning the data 00:26:46 - Setting up a ...

1:42:49
Lesson 5: Practical Deep Learning for Coders 2022

92,115 views

3 years ago

caltech
Lecture 03 -The Linear Model I

The Linear Model I - Linear classification and linear regression. Extending linear models through nonlinear transforms. Lecture 3 ...

1:19:44
Lecture 03 -The Linear Model I

375,702 views

13 years ago

Jeremy Howard
Lesson 8 - Practical Deep Learning for Coders 2022

00:00 - Neural net from scratch 04:46 - Parameters in PyTorch 07:42 - Embedding from scratch 12:21 - Embedding interpretation ...

1:36:55
Lesson 8 - Practical Deep Learning for Coders 2022

46,895 views

3 years ago

NPTEL IIT Bombay
Week 3 : Lecture 14

Lecture 14 : Comprehending and evaluating software designs (Brief Introduction)

0:47
Week 3 : Lecture 14

3,837 views

3 years ago

BioniChaos
Seizure Detection Models: Confusion Matrix, Interactive Visuals & Tracking Model Performance

I'm walking you through the process of refining a seizure detection model with new interactive features and enhanced ...

3:58
Seizure Detection Models: Confusion Matrix, Interactive Visuals & Tracking Model Performance

20 views

1 year ago

Jeremy Howard
Lesson 6: Practical Deep Learning for Coders 2022

00:00 Review 02:09 TwoR model 04:43 How to create a decision tree 07:02 Gini 10:54 Making a submission 15:52 Bagging ...

1:42:55
Lesson 6: Practical Deep Learning for Coders 2022

60,552 views

3 years ago

OpenMDAO
How to debug solvers

Optimizers often push systems to their limits of multidisciplinary analysis, so sometimes solvers don't converge. You can follow a ...

16:32
How to debug solvers

860 views

3 years ago

Alfredo Canziani (冷在)
Week 11 – Practicum: Prediction and Policy learning Under Uncertainty (PPUU)

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 11: ...

1:23:19
Week 11 – Practicum: Prediction and Policy learning Under Uncertainty (PPUU)

5,053 views

5 years ago

MoDyPy
MoDyPy V3.0 Basics 1: States and Signals

In this tutorial, you will learn some basics about states and signals in MoDyPy by modelling a simple integrator. MoDyPy Basics ...

17:50
MoDyPy V3.0 Basics 1: States and Signals

38 views

4 years ago

Jevko
A Core Calculus for Documents vs Znadoc, Part 1 (raw)

In this video I talk about Znadoc, a document creation system I am building on Jevko in the context of a paper from January 2024, ...

15:45
A Core Calculus for Documents vs Znadoc, Part 1 (raw)

58 views

2 years ago

K Dunn
Experiments 3B - Solving the mathematical model for a 2 factor experiment using software

Videos used in the Coursera course: Experimentation for Improvement. Join the course for FREE at ...

8:46
Experiments 3B - Solving the mathematical model for a 2 factor experiment using software

7,913 views

10 years ago

Genetic Improvement Workshop
Optimising SQL Queries Using Genetic Improvement

Structured Query Language (SQL) queries are ubiquitous in modern software engineering. These queries can be costly when run ...

1:48
Optimising SQL Queries Using Genetic Improvement

42 views

4 years ago