1,5h | Video: .MP4, 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 872 mb
Genre: eLearning | Language: English
This course will give you a fundamental, conceptual understanding of how Recommendation Engines work by walking you through building a simple toy Recommendation Engine from scratch using simple math and basic python programming skills.
Taking this course is an easy way to prepare for more advance study as concepts are explained in plain language and code is walked through line by line!
The object of this course is for you to walk away with a solid understanding of the fundamentals behind the Collaborative filtering algorithm used by Netflix to recommend movies to users based on the tastes of other similar users.
So join me inside and make your first big steps towards the future!
What are the requirements?
No need to learn complex machine learning theory
Basic Middle School Math
Basic Understanding of Python
What am I going to get from this course?
Understand Basic Concepts of a Recommendation Engine
Be able to build a simple but functional Recommendation Engine
What is the target audience?
Beginners interested in learning basic machine learning concepts
Python beginners looking for interesting projects