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- 20% A Beginner's Guide To Machine Learning with Unity

A Beginner’s Guide To Machine Learning with Unity

$15.99Track price

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8.8/10 (Our Score)
Product is rated as #70 in category Machine Learning

What if you could build a character that could learn while it played?  Think about the types of gameplay you could develop where the enemies started to outsmart the player. This is what machine learning in games is all about. In this course, we will discover the fascinating world of artificial intelligence beyond the simple stuff and examine the increasingly popular domain of machines that learn to think for themselves.

In this course, Penny introduces the popular machine learning techniques of genetic algorithms and neural networks using her internationally acclaimed teaching style and knowledge from a Ph.D in game character AI and over 25 years experience working with games and computer graphics.  In addition she’s written two award winning books on games AI and two others best sellers on Unity game development. Throughout the course you will follow along with hands–on workshops designed to teach you about the fundamental machine learning techniques, distilling the mathematics in a way that the topic becomes accessible to the most noob of novices.  

Learn how to program and work with:

genetic algorithms

neural networks

human player captured training sets

reinforcement learning

Unity’s ML–Agent plugin

Tensorflow

Contents and Overview

The course starts with a thorough examination of genetic algorithms that will ease you into one of the simplest machine learning techniques that is capable of extraordinary learning. You’ll develop an agent that learns to camouflage, a Flappy Bird inspired application in which the birds learn to make it through a maze and environment–sensing bots that learn to stay on a platform.

Instructor Details

Hi, I'm Dr Penny de Byl. I'm a full stack developer of most things computer sciency and academic with a true passion for teaching. I've been teaching others about games development, programming, computer graphics, animation and web design for over 25 years in universities in Australia and Europe at the full professor level. I've also consulted for Unity, SAE, the Australian Institute of Entertainment and Wikitude. My best selling textbooks including Holistic Game Development with Unity are used in over 100 institutions world-wide. My graduates work at companies like Apple, Ubisoft, LinkedIn and Deloitte Digital. I have an honours degree in computer graphics and a Ph.D. in artificial intelligence for games characters. Over the course of my career I've won numerous awards for teaching excellence at the state, national and international levels including the Australian Learning and Teaching Council's Excellence in Teaching Award and the Unity Mobile Game Curriculum Competition. My approach to teaching computer science and related fields is project-based giving you hands-on workshops you can immediately get your teeth into. I want you to leave my virtual classroom fully armed with a toolkit of skills for life-long learning. I'm excited to now be focussing my efforts full-time on Udemy to bring my years of knowledge and experience to those eager to learn about technology.

Specification: A Beginner’s Guide To Machine Learning with Unity

Duration

13 hours

Year

2021

Level

Intermediate

Certificate

Yes

Quizzes

Yes

17 reviews for A Beginner’s Guide To Machine Learning with Unity

4.3 out of 5
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  1. Dan Williams

    its a good time to learn!

    Helpful(0) Unhelpful(0)You have already voted this
  2. Brooke Hedrick

    Slides almost all entirely washed out in first video at Sydney Unite 2019. The speaker is understand and the subject matter is good. The visuals a very poor.

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  3. Santosh SINGH

    Great lesson with examples. with the help of this lesson , i can start to giving new direction to my carrier.

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  4. Kusol Kiatsommart

    seems interesting so far. topics so far are pretty simple and are pretty what you learnt by reading wikipedia. I’m hoping to see more hands on stuff in upcoming lectures

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  5. Miguel Alberto L rraga Prado

    At first, she wants you to really be interested into machine learning. She teachs about: how and where can apply machine learning in the real world with some examples.

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  6. Pascal Guay

    Good enough I just hope that the ML Agents is updated to the latest version.

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  7. Adesola Adedewe

    great, i wish i could see more of the screen tho

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  8. Imanolgo

    I love genetic algorithms!

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  9. Holosim

    The content is important to me right now. Video #6 is hard to see much of the slide content on screen. Based on other videos from this instructor, I’m confident it will get better.

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  10. Juan Carlos Granados Cardona

    so far it has filed my expectations

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  11. John Kirk

    EXACT FIT to a major part of my project

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  12. Harry Snipe

    Initially was frustrated because it’s was extremely slow and repetitive, but slowly it is building up I’m hopefully there will be something useful later on but I would recommend getting a different course if you already have some background knowledge because it assumes absolutely zero knowledge and most of the course is repetition.

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  13. Robert Slunjski

    I easily followed all the examples and coding.

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  14. Conti Tiziano

    Very clearly exposed and simply developed ’till now. A lot of information received and a lot to discover

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  15. Deyvi Damar

    Absolutely

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  16. calvin John

    This course is a god send

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  17. Brent Williams

    Very informative and helpful

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    A Beginner’s Guide To Machine Learning with Unity
    A Beginner’s Guide To Machine Learning with Unity

    $15.99

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