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634 results

SI335 SI335
Unit 8 Class 36: QuickSelect

How do you (quickly!) find the median of an array? Find out!

29:18
Unit 8 Class 36: QuickSelect

102 views

5 years ago

Rubixcetera
Sorting Algorithms but the Computer Makes Mistakes (LIGHT / SOUND WARNING)

sorting algorithms, but the system is rigged so that comparison sometimes gives the wrong answer, swapping sometimes fails, ...

23:36
Sorting Algorithms but the Computer Makes Mistakes (LIGHT / SOUND WARNING)

75,440 views

2 years ago

Churchill CompSci Talks
Randomised Computation

Randomised Computation, by Daria Dicu Abstract: Randomised algorithms are the simplest and fastest known solution to many ...

31:09
Randomised Computation

2,344 views

10 years ago

PyCon Israel
Evolutionary Computation Examples with Inspyred - Jacob Barhak - PyCon Israel 2018

This is joined work with Aaron Garrett who wrote Inspyred. Evolutionary Computation (EC) allows solving very complex ...

26:59
Evolutionary Computation Examples with Inspyred - Jacob Barhak - PyCon Israel 2018

1,052 views

8 years ago

NeuroMat
Models selection procedures for random objects driven by context tree models

This talk given by Aline Duarte is part II of four minisymposiums given by NeuroMat researchers during the 8th International ...

32:17
Models selection procedures for random objects driven by context tree models

35 views

3 years ago

OpenGeoHub Foundation Official Channel
Madlene Nussbaum: Mastering ML for spatial prediction II - model selection and interpretation

Participants will learn how machine learning methods can be used to select covariates through covariate importance of e.g. ...

1:14:01
Madlene Nussbaum: Mastering ML for spatial prediction II - model selection and interpretation

322 views

6 years ago

Data Science Learning Community Videos
ISLR: Resampling Methods Part 2 & Linear Model Selection and Regularization Part 1 (islr04 5 6)

The cohort wraps up Chapter 5, and then Ron Legere begins Chapter 6 ("Linear Model Selection and Regularization") from ...

56:56
ISLR: Resampling Methods Part 2 & Linear Model Selection and Regularization Part 1 (islr04 5 6)

61 views

3 years ago

UofU Data Science
L18-RandProjection

Approximate all distances. Johnson Lindenstrauss Lemma. Random projections method. Unbiased estimate, and where log(n) ...

41:03
L18-RandProjection

50 views

Streamed 8 months ago

Rasmus Pagh
Lecture 05: Randomized rounding of semidefinite programs

Lecture from the Approximation Algorithms course at University of Copenhagen. Based on the textbook by Williamson and ...

27:18
Lecture 05: Randomized rounding of semidefinite programs

362 views

4 years ago

CampusX
Feature Importance using Random Forest and Decision Trees | How is Feature Importance calculated

This video breaks down the process using Random Forest and Decision Trees, making it easy to comprehend. Learn how these ...

27:20
Feature Importance using Random Forest and Decision Trees | How is Feature Importance calculated

77,815 views

4 years ago

Bioclues
#Inbix2020 |  Random Forests and Decision Trees |  Jayaraman Valadi

Bioclues, workshops, Inbix'20.

46:46
#Inbix2020 | Random Forests and Decision Trees | Jayaraman Valadi

13 views

5 years ago

Data Makers Fest
Better Binary classifiers: Advanced feature selection and tuning by Pedro Santos

Building high-performing binary classification models requires careful feature selection and effective hyperparameter optimization.

23:45
Better Binary classifiers: Advanced feature selection and tuning by Pedro Santos

12 views

1 day ago

Movebank
Lecture 6. Resource Selection Functions for many animals – how to combine, John Fieberg

Video from the Short Course on Analyzing Animal Tracking data at the North Carolina Museum of Natural Sciences, May, 2018.

1:16:52
Lecture 6. Resource Selection Functions for many animals – how to combine, John Fieberg

2,621 views

8 years ago

TrentDoesMath
The Best Way to Tune Hyperparameters? | GridSearch vs Optuna

Try CodeCrafters for free using my referral link: https://app.codecrafters.io/join?via=trentpark8800 In this video I go through ...

1:19:28
The Best Way to Tune Hyperparameters? | GridSearch vs Optuna

1,555 views

1 year ago

Mikko Rönkkö
Heckman sample selection model

So Heckman selection model and selection models more generally address the missing not at random case. So the worst case ...

23:45
Heckman sample selection model

40,869 views

6 years ago

Universität Bern
Einstein Lectures 2019, Shafi Goldwasser, Pseudo Deterministic Algorithms and Proofs

Shafi Goldwasser describes what is known about pseudo-deterministic algorithms in the sequential, sub-linear and parallel ...

1:08:45
Einstein Lectures 2019, Shafi Goldwasser, Pseudo Deterministic Algorithms and Proofs

847 views

6 years ago

Riffomonas Project
Using dplyr's slice functions to pick specific and random rows from a data frame in R (CC042)

In this screencast tutorial, Pat Schloss shows how you can use dplyr's slice functions including slice, slice_head, slice_tail, and ...

26:47
Using dplyr's slice functions to pick specific and random rows from a data frame in R (CC042)

1,862 views

5 years ago

R Consortium
R is for randomization: complex randomization of patients in clinical trials

From R/Medicine Conference 2022 Steven Schwager is a Professor Emeritus at Cornell University and Chair of the Executive ...

23:27
R is for randomization: complex randomization of patients in clinical trials

1,282 views

3 years ago

NFDI4Earth
Implementing Random Forest on the Iris Dataset

This video demonstrates how to apply the Random Forest algorithm to the Iris dataset. It covers data preprocessing steps such as ...

21:53
Implementing Random Forest on the Iris Dataset

105 views

1 year ago

Creative Common lisence
Algorithms Full Course    Design and Analysis of Algorithms

In mathematics and computer science, an algorithm is a finite sequence of well-defined, computer-implementable instructions, ...

11:59:24
Algorithms Full Course Design and Analysis of Algorithms

65 views

4 years ago