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Recommender Systems
In this course you will:
a) understand the basic concept of recommender systems. b) understand the Collaborative Filtering.
c) understand the Recommender System with Deep Learning. d) understand the Further Issues of Recommender Systems.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.
Duration
3 Months
Institution
Sungkyunkwan University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Sungkyunkwan University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$186
Total Est. Investment
$186
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Recommender Systems program at Sungkyunkwan University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.