Intro to Recommender Systems

Loading...
IBM
4.7(4,373 个评分) | 60K 名学生已注册
课程 1(共 6 门,IBM AI Engineering 专项课程
查看授课大纲

审阅

4.7(4,373 个评分)
  • 5 stars
    3,348 ratings
  • 4 stars
    805 ratings
  • 3 stars
    153 ratings
  • 2 stars
    42 ratings
  • 1 star
    25 ratings
AJ

Jul 09, 2019

This was a very informative course. The videos provided a good background on the concepts and I found the labs especially helpful for learning to implement Python code for each technique covered.

JL

Dec 06, 2018

I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis

从本节课中
Recommender Systems
In this module, you will learn about recommender systems. First, you will get introduced with main idea behind recommendation engines, then you understand two main types of recommendation engines, namely, content-based and collaborative filtering.

教学方

  • SAEED AGHABOZORGI

    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。