All current Recommender Systems Courses courses in 2024
17 Courses
Foundations of Data Science
Explore the fascinating world of Data Science with the comprehensive course "Foundations of Data Science," offered by Dartmouth College on edX. This course delves into the intricate relationship between Data Science, artificial intelligence (AI), and its crucial components, including statistical learning (SL), machine learning (ML), and deep learni.
edX
Free Online Course (Audit)
7 weeks, 4-5 hours a week
On-Demand
Data Science Foundations: Knowledge Graphs
Data Science Foundations: Knowledge Graphs
Enhance your information management skills with our comprehensive course on knowledge graphs. Available on LinkedIn Learning, this course delves into various knowledge graph tools, techniques for networking databases, and methods to construct a robust digital knowledge base.
University:
Provider: Lin.
Building a Recommendation System with Python Machine Learning & AI
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems and shows how to build each one.
Categories: Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Programming Courses, Recommender Systems Courses.
Recommender Systems in Python
Recommender Systems in Python
Build a Recommender System with National Tsing Hua University
If you’ve ever watched a recommended film on Netflix or listened to a suggested playlist on Spotify, you have used a recommender system.
On this six-week course from National Tsing Hua University, you’ll learn why so many platforms incorporate recomme.
FutureLearn
Free Online Course (Audit)
6 weeks, 3 hours a week
On-Demand
Java Programming: Build a Recommendation System
Java Programming: Build a Recommendation System
Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon suggests books? Get hands-on experience by building a simplified recommender system of your own!
In this capstone project, you will demonstrate your problem-solving abilities and Java programming skills by developing.
Machine Learning Practical Workout | 8 Real-World Projects
Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks
Udemy
Paid Course
14 hours 14 minutes
On-Demand
The Ultimate Beginners Guide to Python Recommender Systems
Title: The Ultimate Beginners Guide to Python Recommender Systems
Description: Dive into the world of Python recommender systems with our step-by-step beginner's guide! Learn how to utilize collaborative filtering to accurately recommend movies, building everything from scratch.
University: Not Applicable
Provider: Not Applicable
Categories: Artifi.
Machine Learning for Beginners with 6 Real World Projects
Title: Machine Learning for Beginners with 6 Real World Projects
Description: Dive into the realm of machine learning with this comprehensive course designed for all skill levels. Whether you're just starting or looking to deepen your understanding, this course on Udemy covers everything from foundational concepts to advanced applications. You'll w.
Udemy
Paid Course
2 hours 13 minutes
On-Demand
Recommender Systems: Behind the Screen
Delve into the world of Recommender Systems: Behind the Screen, a comprehensive course meticulously designed by IVADO and HEC Montréal. This enlightening education journey, hosted in Montreal, offers a deep dive into the methodologies and practices behind recommender systems. These systems play a pivotal role in shaping personalized online experien.
edX
Free Online Course (Audit)
6 weeks, 4-6 hours a week
On-Demand
Goal-Driven Artificial Intelligence and Machine Learning
Join author Alex Castrounis for an enlightening course on Goal-Driven Artificial Intelligence and Machine Learning, ideal for executives, managers, and anyone eager to gain a deeper understanding of these transformative technologies without needing a technical background. Explore how AI and ML can propel your business or personal goals forward by p.
Skillshare
Free Trial Available
1-2 hours
On-Demand