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158 results

Andreas Mueller
Applied ML 2020 - 12 - AutoML (plus some feature selection)

The second part of the feature selection lecture, plus an overview of automl approaches. Sorry for the chat window, I didn't realize ...

1:25:39
Applied ML 2020 - 12 - AutoML (plus some feature selection)

3,841 views

5 years ago

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

95 views

4 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

2,327 views

9 years ago

Musicombo
Grailsort - "Smart" Block Select vs. Many Different Inputs

"Smart" block select sort is a much improved variant of Grailsort's original "naive" block select sort. It's been one of the goals for a ...

26:26
Grailsort - "Smart" Block Select vs. Many Different Inputs

4,000 views

5 years ago

Andreas Mueller
Applied Machine Learning 2019 - Lecture 12 - Model Interpretration and Feature Selection

Feature importance measures, partial dependence plots. Univariate and multivariate feature selection, recursive feature selection.

1:17:05
Applied Machine Learning 2019 - Lecture 12 - Model Interpretration and Feature Selection

4,677 views

6 years ago

Andreas Mueller
Applied ML 2020 - 11 - Model Inspection and Feature Selection

Course materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

1:15:15
Applied ML 2020 - 11 - Model Inspection and Feature Selection

5,039 views

5 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)

1,850 views

5 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

64,357 views

4 years ago

GreyAtom EduTech
Machine Learning Tutorial Chap 7 | Part-2 Feature Selection | Rohit Ghosh | GreyAtom

Get access to FREE Data Science courses, projects, e-books, and more... Start learning now! https://bit.ly/3009dgI Welcome to ...

24:43
Machine Learning Tutorial Chap 7 | Part-2 Feature Selection | Rohit Ghosh | GreyAtom

1,321 views

6 years ago

Centre International de Rencontres Mathématiques
Chloé Azencott: Network-guided feature selection in high-dimensional genomic data

Differences in disease predisposition or response to treatment can be explained in great part by genomic differences between ...

1:27:52
Chloé Azencott: Network-guided feature selection in high-dimensional genomic data

241 views

5 years ago

TrentDoesMath
Hands On Data Science Project: Understand Customers with KMeans Clustering in Python

Try CodeCrafters for free using my referral link: https://app.codecrafters.io/join?via=trentpark8800 In this walkthrough, we dive into ...

1:47:49
Hands On Data Science Project: Understand Customers with KMeans Clustering in Python

87,322 views

1 year ago

Utah Data
Models of Computation for Massive Data L14

Parallel Algorithms: Rank-Selection and Max.

1:02:33
Models of Computation for Massive Data L14

55 views

12 years ago

Itnig
What algorithm to choose and how to apply it to your product?

Machine learning and algorithms are two concepts and words that are thrown around a lot these days, but very few actually know ...

1:05:56
What algorithm to choose and how to apply it to your product?

4,365 views

8 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

826 views

6 years ago

PyCon South Africa
Dimensionality reduction - squeezing out the good stuff with PCA

Aabir Abubaker Kar https://2018.za.pycon.org/talks/28-dimensionality-reduction-squeezing-out-the-good-stuff-with-pca/ Data is ...

39:40
Dimensionality reduction - squeezing out the good stuff with PCA

532 views

7 years ago

ConfEngine
Mastering feature selection: basics to develop your own algo by Dr. Saptarsi Goswami #ODSC_India

After the talk, participants will appreciate the need for feature selection, the basic principles of feature selection algorithm and ...

46:39
Mastering feature selection: basics to develop your own algo by Dr. Saptarsi Goswami #ODSC_India

925 views

6 years ago

Nitin Chandrachoodan
EE5332 L12.1 - Memory Mapped Peripherals

Concept of memory mapping and how it is used to interface peripherals to a CPU.

21:07
EE5332 L12.1 - Memory Mapped Peripherals

963 views

3 years ago

CH 38: IIT TIRUPATI 02: Mathematics
Selecting the BEST Regression Model ( Contd.) #swayamprabha #CH38SP

Subject : Mathematics Course Name : Regression Analysis Welcome to Swayam Prabha! Description: Welcome to CH 38: ...

57:10
Selecting the BEST Regression Model ( Contd.) #swayamprabha #CH38SP

0 views

1 year ago

Musicombo
Iterative Bitonic Sort

Visit our community Discord here: https://discord.com/invite/2xGkKC2 Check out the program here: ...

23:41
Iterative Bitonic Sort

32,124 views

4 years ago

Joey DeVilla
Sorting out sorting...1981 computer graphics style!

Here's a 1981 film — and yes, it was a *film* — that uses what would've been state-of-the-art graphics at the start of the 8-bit era to ...

30:57
Sorting out sorting...1981 computer graphics style!

16,607 views

8 years ago