Description
Building Recommender Systems with Machine Learning and AI The name of a video tutorial series on how to design and implement recommendation engines. Actually, in this course, you will learn how to design and implement such systems with the help of machine learning and artificial intelligence. Recommendation engines are programs that are able to show you what you might like by analyzing various algorithms. The following course will teach you from beginner to advanced level.
The techniques mentioned earlier are being used in many world-renowned software today. Also, at least some programming experience, especially Python, can help you learn better. It should be noted that an introduction to Python is given at the beginning of this course. At the end of the course you can develop your own suggestion engine by applying the concepts and skills 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
- Learning how to apply machine learning and artificial intelligence
- Real-world challenges and solutions that enhance your skills
- Combine multiple recommendation algorithms together in a hybrid and group approach
- And…
Course Specification:
- English Language
- Duration: 10 hours 6 minutes
- Number of courses: 118
- Learning Level: Introductory to Advanced
- Instructor: Frank Kane, Teasundog Education by Frank Kane
- File format: mp4
The course outlines 2022/6 Building Recommender Systems with Machine Learning and AI
Prerequisites of Building Recommender Systems with Machine Learning and AI
Building 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)
- Some computer science background, and the ability to understand new algorithms.
Pictures
Sample Movie Building Recommendation System with Machine Learning
installation Guide
After extract watch it with your favorite player.
English subtitle
Quality: 720p
Change:
The 2020/11 version has an increased number of lessons by 8 and a duration of 51 minutes compared to 2019/5.
download link
File Password: free download software
size
3.83 GB