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162 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

95 views

4 years ago

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)

3,844 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

4,679 views

6 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

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

2,329 views

9 years ago

ResEcon 703 - UMass Amherst
Week 2: R Tutorial | Video 5: Data in R

... analysis so for example there's a mutate function that adds new variables select that picks variables filter that picks observations ...

24:53
Week 2: R Tutorial | Video 5: Data in R

933 views

5 years ago

All Things Open
Dungeons, Dragons, and Graph Databases - Guy Royse

Presented by: Guy Royse, Redis Labs Presented at All Things Open 2020 - Databases Track Abstract: Are you an adventurer?

51:41
Dungeons, Dragons, and Graph Databases - Guy Royse

1,207 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

64,894 views

4 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

ICTP Quantitative Life Sciences
Bandit Algorithms - 1

Speaker: T. LATTIMORE Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence (smr 3246) ...

1:34:05
Bandit Algorithms - 1

10,868 views

7 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

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

320 views

6 years ago

Society of Research Software Engineering
Nicola Martin: Improving performance of Python code for processing Earth Observation Data with GPUs

A talk from the GPU performance parallel session at RSECon2022. Details: ...

25:42
Nicola Martin: Improving performance of Python code for processing Earth Observation Data with GPUs

96 views

2 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

827 views

6 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

1,322 views

6 years ago

Tübingen Machine Learning
Probabilistic ML - Lecture 3 - Continuous Variables (updated 2021)

This is the third lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of ...

1:28:05
Probabilistic ML - Lecture 3 - Continuous Variables (updated 2021)

14,499 views

4 years ago

Sebastian Wild (research)
Hypersuccinct Trees

This is the long version of my presentation of our ESA 2021 paper on space-efficient tree data structures “Hypersuccinct Trees ...

33:30
Hypersuccinct Trees

78 views

4 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

Vuk Rosić
This is BORING But Will Make You Top 0.1% - Conditional Distribution, Multivariate Normal Dist - EP4

Full cource on probability for AI Research ...

21:09
This is BORING But Will Make You Top 0.1% - Conditional Distribution, Multivariate Normal Dist - EP4

399 views

2 months 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