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524 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

5,176 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

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

1,643 views

3 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

150,460 views

3 years 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

292,782 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

53,048 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

375,038 views

13 years 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

5,305 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"

182 views

5 months 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)

5,050 views

5 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

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

851 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

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

1,279 views

4 years 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

60,373 views

3 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

3,942 views

5 years ago

weecology
Using auto.arima() inR

Time series modeling pt 7. We will explore using auto.arima() which automates the search for the best fitting arima model. And we ...

9:56
Using auto.arima() inR

4,722 views

5 years ago

Mikko Rönkkö
Auxiliary variables in missing data analysis

So this comes from the Enders book, and we have a model where we're interested in the correlation between self esteem and ...

8:07
Auxiliary variables in missing data analysis

2,720 views

5 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

7,907 views

10 years ago

Quantitative Research Methods
Video tutorial 7: Moderation in linear models

In this video, I talk about how to do moderation in linear models in Stata, the factor notation, and how to substantively interpret ...

13:29
Video tutorial 7: Moderation in linear models

5,431 views

4 years ago