ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

142,343 results

AltexSoft
What is a Machine Learning Engineer

There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...

11:45
What is a Machine Learning Engineer

102,840 views

4 years ago

AltexSoft
How is data prepared for machine learning?

Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...

13:57
How is data prepared for machine learning?

113,182 views

4 years ago

Brandon Rohrer
How to pick a machine learning model 1: Choosing between models

Part of the End-to-End Machine Learning School course library at http://e2eml.school See these concepts used in an End to End ...

6:18
How to pick a machine learning model 1: Choosing between models

39,540 views

7 years ago

North Carolina School of Science and Mathematics
Types of Machine Learning: Explained Simply

In this video, Antonio Alonso-Stepanov, an NCSSM Online AI teaching assistant, explains the three types of machine learning: ...

5:59
Types of Machine Learning: Explained Simply

1,709 views

4 years ago

Deep Learning with Yacine
What Is In-Context Learning in Deep Learning?

to get started with AI engineering, check out this Scrimba course: ...

11:48
What Is In-Context Learning in Deep Learning?

7,387 views

1 year ago

The ScienceVerse
Machine Learning, Deep Learning, and Neural Networks-The Basics of Artificial Intelligence Explained

Note:Mind the spelling error at 6:02 I know it's supposed to say sigmoid ...my bad and thanks to my good friend Steven Yao for ...

14:19
Machine Learning, Deep Learning, and Neural Networks-The Basics of Artificial Intelligence Explained

2,684 views

7 years ago

CodeEmporium
Few Shot Learning - EXPLAINED!

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...

10:01
Few Shot Learning - EXPLAINED!

41,952 views

4 years ago

CodeEmporium
The Kernel Trick - THE MATH YOU SHOULD KNOW!

Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...

7:30
The Kernel Trick - THE MATH YOU SHOULD KNOW!

203,597 views

7 years ago

CodeEmporium
Loss Functions - EXPLAINED!

Many animations used in this video came from Jonathan Barron [1, 2]. Give this researcher a like for his hard work! SUBSCRIBE ...

8:30
Loss Functions - EXPLAINED!

161,548 views

6 years ago

CodeEmporium
Deep Q-Networks Explained!

... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...

10:51
Deep Q-Networks Explained!

65,482 views

2 years ago

CodeEmporium
Q-learning - Explained!

Let's talk about one of the more important concepts in reinforcement learning: q-learning ABOUT ME ⭕ Subscribe: ...

11:54
Q-learning - Explained!

82,546 views

2 years ago

CodeEmporium
Time Series Forecasting with Machine Learning

INVESTING [1] Webull (You can get 3 free stocks setting up a webull account today): https://a.webull.com/8XVa1znjYxio6ESdff ...

13:52
Time Series Forecasting with Machine Learning

185,528 views

5 years ago

Papers Are Wonderful
A Window  Into LLMs | Sparse Autoencoders Explained

This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

5:27
A Window Into LLMs | Sparse Autoencoders Explained

10,835 views

1 year ago

John Mount
PAC Learning and VC Dimension

A quick introduction to PAC Learning and VC Dimension.

17:17
PAC Learning and VC Dimension

26,022 views

5 years ago

CodeEmporium
Understand ANY Machine Learning Model

Let's see model interpretation with Shapely Values Follow me on M E D I U M: ...

15:00
Understand ANY Machine Learning Model

32,137 views

4 years ago

Kingsley Kessy Asuamah | AI_Tech_Self-Improvement
AI, Machine Learning, Deep Learning and Generative AI Explained (No Jargons)

An overview of artificial intelligence (AI) and its core subfields, machine learning (ML) and deep learning (DL), often using Venn ...

6:50
AI, Machine Learning, Deep Learning and Generative AI Explained (No Jargons)

110 views

1 month ago

CodeEmporium
Activation Functions - EXPLAINED!

We start with the whats/whys/hows. Then delve into details (math) with examples. Follow me on M E D I U M: ...

10:05
Activation Functions - EXPLAINED!

152,116 views

5 years ago

CodeEmporium
Optimizers - EXPLAINED!

From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...

7:23
Optimizers - EXPLAINED!

145,370 views

5 years ago

CodeEmporium
Transformer Neural Networks - EXPLAINED! (Attention is all you need)

Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 BLOG: ...

13:05
Transformer Neural Networks - EXPLAINED! (Attention is all you need)

874,144 views

6 years ago

Alexander Jung
Empirical Risk Minimization Explained | The Engine Behind Modern AI

What drives most modern machine learning algorithms? In this video, we break down Empirical Risk Minimization (ERM) — the ...

12:27
Empirical Risk Minimization Explained | The Engine Behind Modern AI

42,455 views

5 years ago