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18 results

Jon Gjengset
Implementing and Optimizing a Wordle Solver in Rust

We implement a Wordle solver in Rust based off on the excellent 3blue1brown video on the same topic: ...

6:08:52
Implementing and Optimizing a Wordle Solver in Rust

159,359 views

3 years ago

Jon Gjengset
Crust of Rust: Sorting Algorithms

In this Crust of Rust episode, we implement some common sorting algorithms in Rust. This episode doesn't aim to explain any ...

2:37:53
Crust of Rust: Sorting Algorithms

66,929 views

5 years ago

Jon Gjengset
Crust of Rust: Subtyping and Variance

In this episode of Crust of Rust, we go over subtyping and variance — a niche part of Rust that most people don't have to think ...

1:39:41
Crust of Rust: Subtyping and Variance

71,935 views

4 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

289,945 views

1 year ago

Luis R. Izquierdo
Introduction to Metaheuristics (8/9). Local search applied to the Travelling Salesman Problem

Playlist at https://www.youtube.com/playlist?list=PLN4kTzLXGGgWNf4CDyoZZOsjOCftW5ej6 Erratum: In the slide shown at 12:30, ...

23:22
Introduction to Metaheuristics (8/9). Local search applied to the Travelling Salesman Problem

16,412 views

5 years ago

NPTEL IIT Bombay
Lecture 19A: Line search methods for unconstrained optimization

Week 10: Lecture 19A: Line search methods for unconstrained optimization.

21:19
Lecture 19A: Line search methods for unconstrained optimization

10,899 views

4 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

5,245 views

2 years ago

NPTEL IIT Guwahati
Lec 23: Hidden Markov Model (HMM)

Machine Learning and Deep Learning - Fundamentals and Applications https://onlinecourses.nptel.ac.in/noc23_ee87/preview ...

1:02:40
Lec 23: Hidden Markov Model (HMM)

8,435 views

2 years ago

NPTEL IIT Bombay
Lecture 11 : Recursion Part 2 : Recursive objects, Tree drawing

Recursion Part 2 : Recursive objects, Tree drawing.

24:06
Lecture 11 : Recursion Part 2 : Recursive objects, Tree drawing

9,974 views

6 years ago

NPTEL IIT Bombay
Week 9 : Lecture 43 : Polynomial Interpolation: Implementation of Lagrange Form as Python Code

Lecture 43 : Polynomial Interpolation: Implementation of Lagrange Form as Python Code.

35:33
Week 9 : Lecture 43 : Polynomial Interpolation: Implementation of Lagrange Form as Python Code

5,982 views

2 years ago

Tyler Caraza-Harter
CS 320 Oct 5 (Part 2) - DFS

hello in this video i'm going to be introducing a new algorithm called depth first search dfs um this is the kind of algorithm i've seen ...

27:25
CS 320 Oct 5 (Part 2) - DFS

314 views

5 years ago

Tyler Caraza-Harter
CS 320 Oct 7 (Part 1) - BFS Backtrace

... and um and then i get this iterator thing which i wanna just force to be a list there's many ways to reverse things in python when i ...

26:25
CS 320 Oct 7 (Part 1) - BFS Backtrace

261 views

5 years ago

NPTEL IIT Guwahati
Lec 39: k-means clustering using R

Data Analysis for Biologists Playlist Link: https://www.youtube.com/playlist?list=PLwdnzlV3ogoXmoCXczKiu6WGW0r05Zw02 Prof.

26:17
Lec 39: k-means clustering using R

4,507 views

3 years ago

nptelhrd
Mod-02 Lec-20 K-NN Classifier

Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.

53:48
Mod-02 Lec-20 K-NN Classifier

16,685 views

11 years ago

José A. Alonso
El TAD de los grafos en Haskell (1 de 2)

Estudio del tipo abstracto de datos de los grafos con distintas implementaciones en Haskel. El vídeo es una grabación directa de ...

57:51
El TAD de los grafos en Haskell (1 de 2)

622 views

5 years ago

NPTEL IIT Bombay
Lecture 19C: Line search algorithm and convergence

Week 10: Lecture 19C: Line search algorithm and convergence.

22:13
Lecture 19C: Line search algorithm and convergence

1,821 views

4 years ago

NPTEL IIT Bombay
Lecture 19B: Wolfe conditions

Week 10: Lecture 19B: Wolfe conditions.

24:34
Lecture 19B: Wolfe conditions

3,375 views

4 years ago

Videothek Algorithmik
Algorithmische Konzepte

[00:08] Schwere algorithmische Probleme [02:30] Vorab Datenmenge reduzieren [05:45] Kritische Punkte vorab [08:56] Lösung ...

47:54
Algorithmische Konzepte

2,912 views

10 years ago