courseraАнализ данных

Recommender Systems

Курс от Sungkyunkwan University

Средний≈ 16.6 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Deep Learning Data Processing Machine Learning Algorithms Algorithms Machine Learning Scalability AI Personalization

Программа курса

4 модулей · 37 учебных материалов

01Introduction to Recommender Systems9 материалов

What is a recommender system?

Main recommender systemsВидео Recommender system application developments: A surveyЧтение Quiz 1Задание

Basic Recommender Systems

Read data, measure accuracy

Учитесь у экспертов

Jaekwang KIM

Assistant Professor

Recommender Systems

О курсе

Навыки, которые вы освоите

Программа курса

What is a recommender system?

Basic Recommender Systems

Учитесь у экспертов

Jaekwang KIM

Collaborative Filtering I

Collaborative Filtering II

Matrix Factorization

Recommander System based on Matrix Factorization

Surprise Package

Recommender systems using deep learning 1

Recommender systems using deep learning 2

Hybrid Recommender Systems

Sparse Matrix

Some Issues in RS