Search result for Recommender systems Online Courses & Certifications
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Deploying Machine Learning Models
by Ilkay Altintas , Julian McAuley- 3.5
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Approx. 11 hours to complete
In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. Introduction to Recommender Systems Review: Recommender Systems Recommender Systems and Latent Factor Models Implementing Recommender Systems Implementing Recommender Systems Deploying Recommender Systems Deploying Recommender Systems...
Recommender Systems for Beginners - Complete 2021 Edition
by The Click Reader- 3.9
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28 mins on-demand video
A beginner-focused course on Recommender Systems for entrepreneurs and developers. Learn how to build intelligent Recommender Systems for businesses in this Recommender Systems for Beginners course created by The Click Reader. In this course, you will be learning about the fundamentals of Recommender Systems and their applications in various businesses....
$9.99
Basic Recommender Systems
by Paolo Cremonesi- 3.9
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Approx. 12 hours to complete
After completing this course, you'll be able to describe the requirements and objectives of recommender systems based on different application domains. You'll know how to distinguish recommender systems according to their input data, their internal working mechanisms, and their goals. Introduction to Recommender Systems Taxonomy of Recommender Systems Non-personalized Recommender Systems EVALUATION OF RECOMMENDER SYSTEMS Quality of Recommender Systems...
Recommender Systems Capstone
by Michael D. Ekstrand , Joseph A Konstan- 0.0
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Approx. 3 hours to complete
This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance....
Introduction to Recommender Systems: Non-Personalized and Content-Based
by Joseph A Konstan , Michael D. Ekstrand- 4.5
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Approx. 23 hours to complete
This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations. Closing Quiz: Introducing Recommender Systems...
Recommender Systems: Behind The Screen
by Laurent CHARLIN , Fernando DIAZ , Michael EKSTRAND , Dora JAMBOR- 0.0
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6 Weeks
Recommender systems are algorithms that find patterns in user behaviour to improve personalized experiences and understand their environment. You will also practice recommender systems algorithms thanks to a tutorial guided by an expert. We welcome you to this special learning journey of Recommender Systems: Behind the Screen! Understand the basics of recommender systems including its terminology;...
$150
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
- Construct your own recommender system. - finally, you will build your own recommender system! Recommender Systems Recommender Systems, Introduction. Recommender Systems, Introduction. Non-Personalized Recommender Systems Content-Based Recommender Systems Recommender System Evaluation Recommender Systems. Recommender Systems Recommender Systems (practice week) Recommender Systems....
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Advanced Recommender Systems
by Paolo Cremonesi- 0.0
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Approx. 15 hours to complete
In this course, you will see how to use advanced machine learning techniques to build more sophisticated recommender systems. You will be able to design more sophisticated recommender systems, which can solve the cross-domain recommendation problem. HYBRID AND CONTEXT AWARE RECOMMENDER SYSTEMS Hybrid Recommender Systems Context-Aware Recommender Systems...
Matrix Factorization and Advanced Techniques
by Michael D. Ekstrand , Joseph A Konstan- 4.3
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Approx. 16 hours to complete
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space....
Data Science-Unsupervised Machine Learning Using R
by ExcelR Solutions- 3.7
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5 hours on-demand video
Recommender Systems, Association Rules, Dimension Reduction, Network Analysis...
$11.99
