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Building functional programs with bananas, catalysts, shacl's and shapes – Alistair Johnson

This is a talk that combines both the practical, but often overlooked, topic of SBT with cutting edge distributed data technologies.

34:29
Building functional programs with bananas, catalysts, shacl's and shapes – Alistair Johnson

1,035 views

9 years ago

UMD Mathematics
Mattias Johnson
28:07
Mattias Johnson

85 views

3 years ago

CMU Database Group
Multi-statement Transactions in the Databricks Lakehouse (Ryan Johnson)

CMU Database Group - Future Data Systems Seminar Series (Fall 2025) Speaker: Ryan Johnson ...

56:14
Multi-statement Transactions in the Databricks Lakehouse (Ryan Johnson)

1,500 views

2 months ago

Jeff Phillips
DataMining12-L17: JL Lemma + OMP (1 of 2)

Video Lectures by Prof. Jeff M. Phillips given as courses in the School of Computing at the University of Utah. Topics include Data ...

37:49
DataMining12-L17: JL Lemma + OMP (1 of 2)

914 views

12 years ago

Chris Ball
Ian Johnson - Prototyping data visualizations in d3.js

Talk given by Ian Johnson (@enjalot) to the Boston d3.js User Group on May 18th 2013. Slides: ...

1:12:43
Ian Johnson - Prototyping data visualizations in d3.js

4,030 views

12 years ago

Santosh S Gaidhankar
Processing of n jobs through two machine -sequencing (JOHNSON'S - OPERATION RESEARCH svit, vtu lec-2

Processing of n jobs through two machine -sequencing(JOHNSON'S RULE)

34:11
Processing of n jobs through two machine -sequencing (JOHNSON'S - OPERATION RESEARCH svit, vtu lec-2

4,593 views

5 years ago

NPTEL IIT Guwahati
Lec 33: Closed Jackson Networks, Convolution Algorithm

Introduction to Queueing Theory Playlist Link: https://www.youtube.com/playlist?list=PLwdnzlV3ogoX2OHyZz3QbEYFhbqM7x275 ...

40:35
Lec 33: Closed Jackson Networks, Convolution Algorithm

584 views

3 years ago

BocoupLLC
David Mimno - Understanding Machine Learning with D3: Visualization for Models and Algorithms

Important things to know about this algorithm that there there's no guarantee you'll get to an a global Optimum and and it's ...

32:53
David Mimno - Understanding Machine Learning with D3: Visualization for Models and Algorithms

11,152 views

11 years ago

New Economic Thinking
The Master Algorithm

What's the future? Tim O'Reilly talks with Rob Johnson about focusing the perspectives of technology and innovation towards a ...

47:26
The Master Algorithm

4,871 views

4 years ago

Jeff Phillips
DataMining12-L17: JL Lemma + OMP (2 of 2)

Video Lectures by Prof. Jeff M. Phillips given as courses in the School of Computing at the University of Utah. Topics include Data ...

33:50
DataMining12-L17: JL Lemma + OMP (2 of 2)

160 views

12 years ago

Major League Hacking
Intro to Machine Learning

Understand the intricacies of Machine Learning from HackNY Fellow, Jamis Johnson!

42:04
Intro to Machine Learning

808 views

10 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

43 views

Streamed 2 months ago

Matrixtopia, SGLee
[Matrixtopia]  Matrix Completion Problems by Prof. Charles Johnson

[Matrixtopia] Matrix Completion Problems by Prof. Charles Johnson https://youtu.be/BHF6YSZz6Os.

2:00:57
[Matrixtopia] Matrix Completion Problems by Prof. Charles Johnson

29 views

4 years ago

Code Geex
Algorithms Course - Graph Theory Visualized

... sort (Kahn's algorithm) Shortest path: Dijkstra's algorithm Bellman-Ford algorithm Floyd-Warshall algorithm Johnson's algorithm ...

8:55:07
Algorithms Course - Graph Theory Visualized

503 views

2 years ago

BSidesLV
Evaluating a password manager - Evan Johnson

Evaluating a password manager - Evan Johnson Passwords BSidesLV 2016 - Tuscany Hotel - Aug 02, 2016.

31:26
Evaluating a password manager - Evan Johnson

240 views

9 years ago

David Duvenaud
Fast Random Feature Expansions for Nonlinear Regression

0:01 The theoretical aspects of the random projection method 49:00 The practical part of the tutorial starts. 1:08:53 Explanation of ...

1:30:22
Fast Random Feature Expansions for Nonlinear Regression

2,830 views

11 years ago

IBM Research
Quantum Services in Your Workflows

The IBM Quantum tools you know, and love are evolving fast. Join us to learn about our software stack improvements, how we're ...

20:51
Quantum Services in Your Workflows

5,592 views

4 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Ring Counter vs Johnson Counter | Digital Logic | GATE Computer Science

Kaushik10 #GATE2023.

34:14
Ring Counter vs Johnson Counter | Digital Logic | GATE Computer Science

558 views

3 years ago

Data Science Learning Community Videos
Feature Engineering: Global Search Methods (feat_eng01 12)

Ethan Tenison presents Chapter 12 ("Global Search Methods") from Feature Engineering and Selection by Max Kuhn & Kjell ...

1:03:31
Feature Engineering: Global Search Methods (feat_eng01 12)

36 views

3 years ago

CH 36: IIT Madras 06: Skills and Logistics
Johnson Lindenstrauss Lemma- Part 01 #swayamprabha #ch36sp

Subject : COMPUTER SCIENCE Course Name :Algorithms for Data Science (ADS) Welcome to Swayam Prabha!

44:53
Johnson Lindenstrauss Lemma- Part 01 #swayamprabha #ch36sp

7 views

1 year ago