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97,827 results

John Mount
PAC Learning and VC Dimension

A quick introduction to PAC Learning and VC Dimension.

17:17
PAC Learning and VC Dimension

25,759 views

5 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

39,466 views

7 years ago

CodeEmporium
Deep Q-Networks Explained!

Let's talk about deep q-learning, a popular reinforcement learning algorithm ABOUT ME ⭕ Subscribe: ...

10:51
Deep Q-Networks Explained!

65,036 views

2 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?

112,422 views

4 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!

144,915 views

5 years ago

CodeEmporium
Q-learning - Explained!

... [2] Paradigms of ML: https://idapgroup.com/blog/types-of-machine-learning-out-there/ [3] Model Free vs Model Based RL: ...

11:54
Q-learning - Explained!

81,652 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

185,239 views

5 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

42,335 views

5 years ago

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

102,566 views

4 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!

161,090 views

6 years ago

Brandon Rohrer
How to pick a machine learning model 2: Separating signal from noise

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

4:04
How to pick a machine learning model 2: Separating signal from noise

11,680 views

7 years ago

CodeEmporium
Reinforcement Learning: on-policy vs off-policy algorithms

Let's talk about on-policy vs off-policy algorithms in reinforcement learning ABOUT ME ⭕ Subscribe: ...

14:47
Reinforcement Learning: on-policy vs off-policy algorithms

24,444 views

2 years ago

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

... [2] Paradigms of ML: https://idapgroup.com/blog/types-of-machine-learning-out-there/ [3] Model Free vs Model Based RL: ...

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

35,180 views

2 years ago

Marco Winzker (Professor)
Machine Learning on FPGAs: Introduction

Lecture 1 of a project to implement a small neural network on an FPGA. Video lectures explain training of the network and FPGA ...

8:42
Machine Learning on FPGAs: Introduction

32,817 views

5 years ago

Systems Innovation Network
Machine Learning Overview

Take the full course on our site: https://www.systemsinnovation.network/posts/booklets-complex-analytics Machine learning refers ...

8:44
Machine Learning Overview

2,338 views

7 years ago

CampusX
What is the difference between Parametric & Non-Parametric ML Algorithms?

In this video, we talk about the difference parametric and non-parametric machine learning algorithms. We also discuss how to ...

16:06
What is the difference between Parametric & Non-Parametric ML Algorithms?

38,353 views

3 years ago

DataTrek
Complete Tutorial on Naïve Bayes Classifier | Gaussian | Categorical | Bernoulli | Multinomial NB

datascience #machinelearning #artificialintelligence #analytics #statistics A naive Bayes classifier is a classification algorithm in ...

17:24
Complete Tutorial on Naïve Bayes Classifier | Gaussian | Categorical | Bernoulli | Multinomial NB

5,953 views

3 years ago

recluze
Machine Learning Full Roadmap | Learn ML the Right Way!

In this video, I discuss the roadmap for learning "Machine Learning" effectively by referring to my playlists. 0:00 Why ...

6:48
Machine Learning Full Roadmap | Learn ML the Right Way!

8,945 views

1 year ago

STMicroelectronics
Design Tips for Machine Learning algorithms generation (part 2)

Do you want to get started with AI based on decision trees? Do you want to understand how to optimize your decision tree?

11:47
Design Tips for Machine Learning algorithms generation (part 2)

812 views

4 years ago

The Builder
Genetic Algorithm In Python Super Basic Example

Genetic Algorithms are a family of evolutionary algorithms which can be implemented in any language (including python) they ...

17:42
Genetic Algorithm In Python Super Basic Example

138,279 views

5 years ago