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246 results

Orange Data Mining
tSNE vs MDS vs PCA

In this video, we take a closer look at Multidimensional scaling (MDS). We practice its use on a small data set. Then, using a data ...

5:54
tSNE vs MDS vs PCA

12,574 views

2 years ago

Orange Data Mining
Getting Started with Orange 10: Feature Scoring and Ranking

Feature scoring, ranking and feature selection in data mining. License: GNU GPL + CC Music by: http://www.bensound.com/ ...

3:40
Getting Started with Orange 10: Feature Scoring and Ranking

109,069 views

9 years ago

Dave Ackley
NMCS4ALL: Random number generators

Twenty minute introduction to randomness and pseudorandom number generators, with demos. The New Mexico CS for All ...

20:10
NMCS4ALL: Random number generators

75,447 views

12 years ago

Orange Data Mining
How to choose k for k-Means?

In this video, we use silhouette scores together with k-Means to evaluate which k works best in each specific cluster-finding ...

5:24
How to choose k for k-Means?

9,119 views

2 years ago

Orange Data Mining
Initial Centroids for k-Means

Continuing with k-means, we take a look at initial placement of centroids. Does it make a difference? How about how many of ...

3:55
Initial Centroids for k-Means

8,706 views

2 years ago

aantonop
Bitcoin Q&A: How Is the Number of Zeros in the Target Hash Determined?

How is the Bitcoin mining difficulty target hash determined? Why are the number of zeros at the beginning of the number used to ...

5:25
Bitcoin Q&A: How Is the Number of Zeros in the Target Hash Determined?

9,025 views

5 years ago

Learn with Shikaar
Get n Unique Random Elements from an Array in JavaScript

Video Title: Get n Random Unique Elements from an Array in JavaScript In this video, you'll learn how to select multiple random, ...

3:10
Get n Unique Random Elements from an Array in JavaScript

1 view

7 months ago

David Fdez
A simulation-based algorithm for RRM

Proposal of an heuristic for the scheduling of capacity requests and the periodic assignment of radio resources in geostationary ...

16:26
A simulation-based algorithm for RRM

670 views

12 years 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

16,416 views

5 years ago

Google for Developers
R 3.1 - Managing the Workspace and Variable Casting

View all the objects in the workspace using ls(), remove objects using rm(), cast a variable as a different type using an as.[type]() ...

2:57
R 3.1 - Managing the Workspace and Variable Casting

17,644 views

12 years ago

MicroRishi
Getting Started | Car Evaluation Dataset | Part 1

Hi everyone, welcome back to our channel. In this video, We're going to show where to search for machine learning data, which ...

2:52
Getting Started | Car Evaluation Dataset | Part 1

1,005 views

2 years ago

datalabcc
Sample Data - SPSS: An Introduction - 2.3

SPSS comes with a wide selection of sample data sets to get you up and running right away. For more on this topic – and all of ...

3:51
Sample Data - SPSS: An Introduction - 2.3

396 views

8 years ago

UCLA Office of Advanced Research Computing (OARC)
Introduction to DAGs for Causal Inference in R

Directed Acyclic Graphs (DAGs) have emerged as a valuable tool in causal modeling to understand the relationships among ...

1:16:17
Introduction to DAGs for Causal Inference in R

741 views

3 months ago

ESMARConf
ESMARConf2023: Workshop 5 - Network meta-analysis using R package netmeta

Coordinators: Guido Schwarzer and Gerta Rücker Title: Network meta-analysis using R package netmeta Abstract: The aim of this ...

1:59:32
ESMARConf2023: Workshop 5 - Network meta-analysis using R package netmeta

8,858 views

Streamed 2 years ago

Jukka Suomela
Programming Parallel Computers: Part 6A

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 6, part A: Designing parallel algorithms.

9:14
Programming Parallel Computers: Part 6A

1,032 views

5 years ago

Orange Data Mining
Classification Trees

In this video, we explore classification trees using the Iris dataset in Orange. We use the Select Columns widget to examine the ...

5:19
Classification Trees

15,423 views

2 years ago

nptelhrd
Mod-04 Lec-28 Feature Selection : Problem statement and Uses

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

49:45
Mod-04 Lec-28 Feature Selection : Problem statement and Uses

15,131 views

11 years ago

K Dunn
Experiments 4E - All about blocking

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

9:21
Experiments 4E - All about blocking

6,144 views

10 years ago

caltech
Lecture 01 - The Learning Problem

The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem.

1:21:28
Lecture 01 - The Learning Problem

1,436,680 views

13 years ago

weecology
Introduction to Repeating Things in R: Combining Your Own Functions With dplyr
15:08
Introduction to Repeating Things in R: Combining Your Own Functions With dplyr

1,546 views

5 years ago