ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

14 results

codingjerk
✨ r e t r y ✨

A brief explanation of the **retrying** in software development. **Timestamps:** - 00:00 - Intro - 00:39 - A naive approach - 01:34 ...

23:24
✨ r e t r y ✨

4,071 views

2 days ago

Berkeley Institute for Data Science (BIDS)
Selective Inference in Regression

BIDS Data Science Lecture Series | September 11, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Jonathan ...

59:14
Selective Inference in Regression

2,398 views

Streamed 10 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

75,596 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

16,460 views

5 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

796 views

4 months 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

15,134 views

11 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

1,438,553 views

13 years ago

Mikko Rönkkö
Regression discontinuity design

So here we know, in randomized experiments, it's the, the source of variation for X is randomly selected in regression discontinue ...

22:13
Regression discontinuity design

6,105 views

5 years ago

Jeremy Howard
Lesson 10: Deep Learning Foundations to Stable Diffusion, 2022

All lesson resources are available at http://course.fast.ai.) This lesson creates a complete Diffusers pipeline from the underlying ...

1:49:14
Lesson 10: Deep Learning Foundations to Stable Diffusion, 2022

69,084 views

3 years ago

NPTEL IIT Guwahati
Lec 22: Decision Tree

Machine Learning and Deep Learning - Fundamentals and Applications https://onlinecourses.nptel.ac.in/noc23_ee87/preview ...

55:26
Lec 22: Decision Tree

6,762 views

2 years ago

nptelhrd
Mod-01 Lec-24 Parallel Algorithm

Parallel Algorithm by Prof. Phalguni Gupta,Department of Computer Science and Engineering,IIT Kanpur.For more details on ...

2:06:59
Mod-01 Lec-24 Parallel Algorithm

2,344 views

10 years ago

NPTEL IIT Guwahati
Lec 3: Bias-Variance Tradeoff

Machine Learning and Deep Learning - Fundamentals and Applications https://onlinecourses.nptel.ac.in/noc23_ee87/preview ...

51:37
Lec 3: Bias-Variance Tradeoff

16,847 views

2 years ago

Computing for All
Cyber security techniques   II

By: Ms. Shahina Anwaru.

59:23
Cyber security techniques II

429 views

6 years ago

nptelhrd
Mod-01 Lec-11 Arithmetic Implementation Strategies for VLSI -Part II

Advanced VLSI Design by Prof. A.N. Chandorkar, Prof. D.K. Sharma, Prof. Sachin Patkar, Prof. Virendra Singh,Department of ...

59:15
Mod-01 Lec-11 Arithmetic Implementation Strategies for VLSI -Part II

2,834 views

9 years ago