Collaborative Filtering

Loading...
강의 계획서 보기

검토

4.7(6,616개의 평가)
  • 5 stars
    5,086 ratings
  • 4 stars
    1,206 ratings
  • 3 stars
    216 ratings
  • 2 stars
    63 ratings
  • 1 star
    45 ratings
NN

Dec 30, 2019

This is a very good start for Machine leaning with Python. I didnt have much idea about ML concepts but this course gave me great understanding on each topic and lot of learning. Awesome Course !!

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.

수업에서
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.

강사:

  • SAEED AGHABOZORGI

    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist
  • Joseph Santarcangelo

    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.