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568,074 results

AltexSoft | TravelTech, AI & Software Engineering
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

106,385 views

4 years ago

AltexSoft | TravelTech, AI & Software Engineering
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?

122,937 views

4 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

16,865 views

1 year ago

KI-Campus
ML explained – Was ist Machine Learning? (2/2)

Wir Menschen lernen aus unseren vergangenen Erfahrungen. Computer auf der anderen Seite handeln nach Instruktionen, die ...

6:24
ML explained – Was ist Machine Learning? (2/2)

2,567 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!

97,892 views

2 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!

208,771 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!

43,354 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!

150,740 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!

74,407 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

189,249 views

5 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!

167,675 views

6 years 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!

158,677 views

6 years ago

CodeEmporium
BERT Neural Network - EXPLAINED!

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

11:37
BERT Neural Network - EXPLAINED!

498,746 views

6 years ago

Tom Viering AI
Regression: MSE versus MAE

Unless otherwise specified, the contents of this video are Copyright of Delft University of Technology and licensed under a ...

4:35
Regression: MSE versus MAE

2,078 views

2 years ago

CodeEmporium
Transfer Learning - EXPLAINED!

Let's talk about a neural network concept called transfer learning. We use this in BERT, GPT and the large language models today ...

16:22
Transfer Learning - EXPLAINED!

9,098 views

2 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)

883,890 views

6 years ago

CodeEmporium
Foundation of Q-learning | Temporal Difference Learning explained!

Let's talk about the foundation concept of Q-learning, SARSA called Temporal Difference Learning. ABOUT ME ⭕ Subscribe: ...

10:11
Foundation of Q-learning | Temporal Difference Learning explained!

40,370 views

2 years ago

ML Explained
How AI Learns To Make Decisions |Q-Learning Explained | Beginner's Guide to Reinforcement Learning

Dive into Q-Learning through a fun and intuitive Tom & Jerry example! In this beginner-friendly tutorial, we'll transform complex ...

7:17
How AI Learns To Make Decisions |Q-Learning Explained | Beginner's Guide to Reinforcement Learning

128 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

28,019 views

5 years ago

The AI Layers
The Multi-Armed Bandit In Reinforcement Learning Explained With A Casino Example

Exploring Multi-Armed Bandit Reinforcement Learning! ✨ Welcome to another exciting episode where we dive deep into the ...

11:53
The Multi-Armed Bandit In Reinforcement Learning Explained With A Casino Example

2,618 views

1 year ago