Artificial Intelligence 2018: Build the Most Powerful AI [FTU] - Free Download



Course Details:

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

Course 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

Course 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

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

Course Content:

  • Introduction
  • Part 1 - Augmented Random Search (ARS) Intuition
  • Part 2 - Augmented Random Search (ARS) Practical
  • Bonus Lectures

Language English Instructor Hadelin de Ponteves
Kirill Eremenko
SuperDataScience Team
Duration 4h 55m Lectures 43
File Size 3 GB

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