Artificial Intelligence Ars

Learn, build and implement the most powerful AI model at home. Compete with multi-billion dollars companies using ARS.

Last updated 2022-01-10 | 4.1

- Build an AI
- Understand the theory behind augmented random search algorithm
- Learn how to build most powerful AI algorithm

What you'll learn

Build an AI
Understand the theory behind augmented random search algorithm
Learn how to build most powerful AI algorithm
Train and implement ARS algorithm
Train AI to solve same challenges as Google Deep Mind

* Requirements

* Python prior coding or scripting experience is required.
* High school level math skills will be required.
* PC (Windows
* Mac or Linux)
* where Anaconda could be installed and run

Description

Two months ago we discovered that a very new kind of AI was invented.

The kind of AI which is based on a genius idea and that you can build from scratch and without the need for any framework.

We checked that out, we built it, and... the results are absolutely insane!

This game-changing AI called Augmented Random Search, ARS for short.

And in a very simple implementation, it is able to do an exact same thing that Google Deep Mind did in their accomplishment last year  - which is to train an AI to walk and run across a field.

However, ARS is 100x times faster and 100x times more powerful.

  • Be prepared for the most significant tech challenges of the 21st century
  • No need for sophisticated algorithms and frameworks
  • What Facebook or Google spent on millions or even more - you can literally do at home!
  • You will be able to compete with multi-billion dollars companies
  • Change the world on your own within months or even weeks
  • Build the most powerful AI that anyone has ever built

Who this course is for:

  • Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning

Course content

4 sections • 43 lectures

Introduction Preview 05:36

BONUS: Learning Paths Preview 00:51

This PDF resource will help you a lot! Preview 00:31

Where to get materials Preview 00:01

Your Shortcut To Becoming A Better Data Scientist! Preview 02:05

Updates on Udemy Reviews Preview 01:09

Plan of attack Preview 02:32

Overview of Augmented Random Search (ARS) Preview 08:49

How does a perceptron work? Preview 08:29

Maximising Rewards Preview 06:02

Method of Finite Differences Preview 18:58

Basic vs Augmented Random Search Preview 07:29

ARS vs other AI Preview 11:35

ARS - Step 1 Preview 08:05

ARS - Step 2 Preview 14:57

ARS - Step 3 Preview 11:23

Checkpoint! Preview 00:14

ARS - Step 4 Preview 09:47

ARS - Step 5 Preview 09:34

ARS - Step 6 Preview 04:30

Checkpoint! Preview 00:25

ARS - Step 7 Preview 08:37

ARS - Step 8 Preview 12:46

ARS - Step 9 Preview 08:05

ARS - Step 10 Preview 16:20

Checkpoint! Preview 00:41

ARS - Step 11 Preview 18:48

Checkpoint! Preview 00:55

ARS - Step 12 Preview 06:00

ARS - Step 13 Preview 05:50

ARS - Step 14 Preview 06:26

ARS - Step 15 Preview 03:07

ARS - Step 16 Preview 03:27

ARS - Step 17 Preview 15:14

ARS - Step 18 Preview 04:31

ARS - Step 19 Preview 04:32

Checkpoint! Preview 01:31

ARS - Step 20 Preview 18:35

For Windows users only Preview 00:25

ARS - Final Results Preview 21:27

Final Checkpoint! Preview 00:19

THANK YOU bonus video Preview 02:40