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250 results

Jeremy Howard
Getting Started With CUDA for Python Programmers

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible.

1:17:56
Getting Started With CUDA for Python Programmers

78,504 views

1 year ago

PythonDeep
"🚀 Dominando Arrays y Matrices en NumPy: Indexación y Selección 🔍"

En este video, exploraremos las técnicas esenciales de indexación y selección en arrays y matrices usando NumPy. ‍♂️ Con ...

24:10
"🚀 Dominando Arrays y Matrices en NumPy: Indexación y Selección 🔍"

21 views

11 months ago

Dr. Pavel Vlašánek
I Speedran Computer Science: Hacking, Math & The Matrix

We built the Matrix in a console, cracked 90s game security, and rendered 3D worlds. This isn't just a 2025 recap; it's a speedrun ...

22:26
I Speedran Computer Science: Hacking, Math & The Matrix

3,148 views

3 weeks ago

NPTEL IIT Bombay
Week 3 : Lecture 14 :  Tutorial Session - 3: Python Coding for Thomas Algorithm

Lecture 14 : Tutorial Session - 3: Python Coding for Thomas Algorithm.

27:21
Week 3 : Lecture 14 : Tutorial Session - 3: Python Coding for Thomas Algorithm

3,399 views

2 years ago

ChameleonAi
Stable Diffusion Models Explained Once and for All (1.5, 2, XL, Cascade, 3)

In this video, I explain the 5 different model families of Stable Diffusion. October 2025 Update (Flux, SD3.5, and Illustrious): ...

22:41
Stable Diffusion Models Explained Once and for All (1.5, 2, XL, Cascade, 3)

78,509 views

1 year ago

National Centre for Research Methods (NCRM)
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

Professor Patrick Sturgis, NCRM director, in the first (of three) part of the Structural Equiation Modeling NCRM online course.

25:32
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

525,887 views

9 years ago

NPTEL IIT Bombay
Week 5 : Lecture 22 : Tutorial Session - 4: Python implementation of Jacobi Method

Lecture 22 : Tutorial Session - 4: Python implementation of Jacobi Method.

38:27
Week 5 : Lecture 22 : Tutorial Session - 4: Python implementation of Jacobi Method

5,271 views

2 years ago

caltech
Lecture 15 - Kernel Methods

Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft ...

1:18:19
Lecture 15 - Kernel Methods

230,158 views

13 years ago

Alfredo Canziani (冷在)
Week 5 – Practicum: 1D multi-channel convolution and autograd

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 5: ...

44:59
Week 5 – Practicum: 1D multi-channel convolution and autograd

11,436 views

5 years ago

Dr. Lindsay Waldrop
L1.7 - Matrices and Arrays in R

Fifth in a series of lectures introducing students to R programming language. In this lecture, these topics are covered: - What is a ...

23:09
L1.7 - Matrices and Arrays in R

297 views

4 years ago

Aalto Scientific Computing
1.4 Numpy - Python for Scientific Computing 2023

Numpy is the standard Python array package. It provides not only the basic data structure, but also plenty of operations on this ...

32:08
1.4 Numpy - Python for Scientific Computing 2023

375 views

2 years ago

Jeremy Howard
Lesson 13: Deep Learning Foundations to Stable Diffusion

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into backpropagation and the creation of a simple ...

1:46:01
Lesson 13: Deep Learning Foundations to Stable Diffusion

19,923 views

2 years ago

MediaArea
No Time To Wait - S04E23 - Caylin Smith and Stephen McConnachie - A Matrix for Videogame Collecting

Caylin Smith and Stephen McConnachie presents "A Matrix for Videogame Collecting" Videogame collecting in the UK is being ...

21:45
No Time To Wait - S04E23 - Caylin Smith and Stephen McConnachie - A Matrix for Videogame Collecting

145 views

5 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

91,539 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

149,948 views

3 years ago

NPTEL IIT Bombay
Week 02: Lecture 03 B

Week 02: Lecture 03 B: Solution of AX=B.

23:14
Week 02: Lecture 03 B

1,174 views

1 year ago

Data Science For You
Logistic REGRESSION MODELS using PYTHON [Explained step by step]

In this video we are going to take a look at logistic regression. Unlike linear regression, analysis of variance (ANOVA), and ...

53:01
Logistic REGRESSION MODELS using PYTHON [Explained step by step]

21 views

2 years ago

NPTEL IIT Bombay
Week 3 : Lecture 13 : Tutorial Session - 2: Python Coding for Naive Gaussian Elimination Method

Lecture 13 : Tutorial Session - 2: Python Coding for Naive Gaussian Elimination Method.

32:47
Week 3 : Lecture 13 : Tutorial Session - 2: Python Coding for Naive Gaussian Elimination Method

2,426 views

2 years ago

Thousand Brains Project
2023/03 - Speedup Discussions - Part 2

The second part of the deep dive into performance improvements in Monty. Watch the team discuss alternatives to KDTreeSearch, ...

53:17
2023/03 - Speedup Discussions - Part 2

157 views

1 year ago

Tyler Caraza-Harter
CS 320 Nov 9 (Part 1) - Vector Multiplication

... newer python code is probably going to be doing the dot product with the at symbol so that is dot product for matrices or vectors ...

22:33
CS 320 Nov 9 (Part 1) - Vector Multiplication

235 views

5 years ago