Byte-Sized-Chunks: Recommendation Systems

Online Course

Udemy
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Byte-Sized-Chunks: Recommendation Systems
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Byte-Sized-Chunks: Recommendation Systems
The course Byte-Sized-Chunks: Recommendation Systems is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Build a movie recommendation system in Python – master both theory and practice

Course description
  • Byte-Sized-Chunks: Recommendation Systems
  • Identify use-cases for recommendation systems
  • Design and Implement recommendation systems in Python
  • Understand the theory underlying this important technique in machine learning
  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.
  • 4.5 hours on-demand video
  • 26 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Loony Corn
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Prerequisites & Facts

Byte-Sized-Chunks: Recommendation Systems

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Byte-Sized-Chunks: Recommendation Systems

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Byte-Sized-Chunks: Recommendation Systems
provided by Udemy
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Reviews

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School: Udemy
Topic: Data Science, Development, Machine Learning

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