The description
Building recommender systems with machine learning and AI is the name of the series of video tutorials on designing and implementing recommendation engines. In fact, in this course, you will learn how to design and implement such a system using machine learning and artificial intelligence. Recommendation engines are programs that, by analyzing different algorithms, are able to show you what you like. The upcoming course will teach you from basic to advanced level.
The previously mentioned technology has been used in many world famous software today. Also, having at least some programming experience, especially Python, can help you learn better. Note that an introduction to Python is provided at the beginning of this course. By the end of the course, you will be able to develop your own suggestion engines by learning the concepts and skills you learned.
Courses taught in this course:
- Learn how to build a recommendation engine from scratch
- Understand how to filter content using item features
- Learn modeling-based techniques, including matrix factorization and SVD
- Learn to apply machine learning and artificial intelligence
- Concrete challenges and solutions that improve your skills
- Combine many recommendation algorithms in a hybrid and group approach
- And…
Course Specification:
- English language
- Duration: 10h 6m
- Number of courses: 118
- Level of study: beginner to advanced
- Instructor: TSundog Education by Frank Kane, Frank Kane
- File format: mp4
Lesson Plans Building Recommender Systems with Machine Learning and AI on 2022/6
Prerequisites for Building Recommender Systems with Machine Learning and AI
Build recommender systems with machine learning and AI requirements
- A Windows, Mac or Linux PC with at least 3 GB of free disk space.
- Some experience with a programming or scripting language (preferably Python)
- A background in computer science and an ability to understand new algorithms.
Pictures
Examples of Movie Creation Recommender Systems with Machine Learning
Installation guide
View with your favorite player after ripping.
english subtitle
Quality: 720p
Changes:
The 2020/11 version has increased the number of lessons by 8 and the duration by 51 minutes compared to 2019/5.
Download link
File password(s): ngaur.com
Cut
3.83 GB