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298 results

Coding Nexus
Linear Regression for Machine Learning | Python Tutorial

Create and Finetune a Chatbot FREE without coding Query AI - https://queryai.co.uk/?ref=lsmhtpxd Join in this comprehensive ...

10:28
Linear Regression for Machine Learning | Python Tutorial

427 views

2 years ago

OpenMDAO
Fitting tabular data using smooth curve fits

If you're fitting a curve or surface to data and want to ever use gradient-based optimizers or Newton solvers, make sure to do it in a ...

7:03
Fitting tabular data using smooth curve fits

1,040 views

3 years ago

OpenMDAO
Multiobjective optimization

Multiobjective optimization is somewhat of a misnomer -- you actually have to have predefined weightings for each of the ...

5:49
Multiobjective optimization

27,472 views

3 years ago

Inria Learning Lab
Intuitions on linear models

This video is part of the Mooc “Machine learning in Python with scikit-learn ” hosted on FUN platform: ...

17:48
Intuitions on linear models

1,837 views

4 years ago

OpenMDAO
Nonlinear and linear systems and solvers

In OpenMDAO terms, your nonlinear system is your model or governing system of equations. Your linear system is a ...

13:15
Nonlinear and linear systems and solvers

1,886 views

3 years ago

OpenMDAO
Solving coupled systems

When you have a coupled or implicit system, you must use a solver to converge that system. Take time to recognize those systems ...

9:36
Solving coupled systems

2,444 views

3 years ago

OpenMDAO
What solver convergence looks like

A system is converged when the residuals are close to 0 within a tolerance. How this is achieved depends on what solver you use, ...

14:50
What solver convergence looks like

1,354 views

3 years ago

BIOE103
04252014 b PracticeProblemFromLecture2

So, when getting back to convolutions, so, the first thing I want you to understand is this idea of a linear time and variance system.

5:28
04252014 b PracticeProblemFromLecture2

3 views

12 years ago

datalabcc
Python - Coding - 4.2

Python is a general purpose programming language and one of the most common tools in data science. For more on this topic ...

5:57
Python - Coding - 4.2

908 views

9 years ago

Solve Computer Science
Smart way to create matrix in Python

This video shows you how to create square matrices in Python using normal lists and NumPy. Using NumPy has the advantage to ...

5:52
Smart way to create matrix in Python

194 views

3 years ago

mathapptician
1   Fourier Motzkin elimination
4:55
1 Fourier Motzkin elimination

12,614 views

11 years ago

J David Eisenberg
Chapter 12: Linear Search

Writing an algorithm that finds a value in an array by looking at each item in term from beginning to end.

4:12
Chapter 12: Linear Search

94 views

4 years ago

OpenMDAO
Basic optimization problem formulation

One of the most important steps in optimization is formulating well-posed and meaningful problems that you can interpret ...

8:52
Basic optimization problem formulation

5,662 views

3 years ago

COMPUTER & EXCEL SOLUTION
Stack linear data structure  Push and POP in Python@COMPUTEREXCELSOLUTION

Join this channel to get access to perks: https://www.youtube.com/channel/UC4C_tfy6WLDxzVVO3y6YinA/join This is my ...

6:35
Stack linear data structure Push and POP in Python@COMPUTEREXCELSOLUTION

79 views

4 years ago

Maria Andersen
CAC Linear Regression Models

Contemporary Algebra Collection Topic: Linear Regression Models, Video 5 of 7 Video Title: Linear Regression Models Learning ...

13:41
CAC Linear Regression Models

102 views

6 years ago

Tyler Caraza-Harter
CS 320 Nov 16 (Part 1) - Non-Linear Fit

hello in this video we're going to be fitting on wide to some trickier data and by tricky i mean that the data isn't linear so if you take ...

13:41
CS 320 Nov 16 (Part 1) - Non-Linear Fit

236 views

5 years ago

Santiago Soler
Gradient-boosted equivalent sources for gridding large gravity and magnetic datasets

by Santiago Soler and Leonardo Uieda Presented at the EGU21 General Assembly. We present the gradient-boosted equivalent ...

5:16
Gradient-boosted equivalent sources for gridding large gravity and magnetic datasets

133 views

5 years ago

Tom Viering AI
Learning curve: how much data do we need?

Unless otherwise specified, the contents of this video are Copyright of Delft University of Technology and licensed under a ...

4:38
Learning curve: how much data do we need?

217 views

2 years ago

volzo
Use Perlin Noise to Modify 3D-Printed Parts

Got some plain and boring parts for printing but might want to add a random pattern to them? Perlin noise is a quick and easy way ...

4:01
Use Perlin Noise to Modify 3D-Printed Parts

3,078 views

4 years ago

AI era
How to explore "DataSet" using Pandas & Python??

Video explains about how to explore datasets using Pandas and Python. for code, Github link: ...

8:06
How to explore "DataSet" using Pandas & Python??

131 views

6 years ago