![\"360-F-238882142-RR07-WHn-FIm82-FA6x-Rv-U7-MLos0-Mxrf-Hgw.jpg\"](\"https://i.postimg.cc/d0kx62Ys/360-F-238882142-RR07-WHn-FIm82-FA6x-Rv-U7-MLos0-Mxrf-Hgw.jpg\")
In addition to the great course we have in Kaggle, there are plenty of excellent resources available. Some are
\n\n\nOne from the masters who developed so much innovation - Recommendation Systems training from Google Developers
\nMicrosoft Repository on Recommenders - MSFT Gihub
\nA great course from Coursera on Recommender Systems which is a Specialization Coursera Specialization on recommender-systems
\nA nice simple video from UC SD on Recommenders UCSD Recommender Sampler
\n
\n Deploying Machine Learning Models UC SD - Introduction to Recommender Systems UCSD Sampler 2Recommender Systems: Past, Present and Future Recommender system intro
\nHybrid Recommender Systems from Advanced Recommender Systems U Minn Introduction to Recommender Systems: Non-Personalized and Content-Based
\nMachine Learning Foundations: A Case Study Approach - Building a recommender system via classification
\nA Nice course - Recommender System Introduction - You'll Learn Dimensionality Reduction, Unsupervised Learning, Cluster Analysis, Recommender Systems, Matrix Factorization - Unsupervised Algorithms in Machine Learning
\nA Nice one from Udemy as well Recommender Systems and Deep Learning in Python
\nA Nice Datacamp Tutorial Beginner Tutorial: Recommender Systems in Python
\nA Sampler on edX course from a pioneering institute - University of Montreal Recommender Systems: Behind the Screen
\n
In addition to the great course we have in Kaggle, there are plenty of excellent resources available. Some are
\n\n\nOne from the masters who developed so much innovation - Recommendation Systems training from Google Developers
\nMicrosoft Repository on Recommenders - MSFT Gihub
\nA great course from Coursera on Recommender Systems which is a Specialization Coursera Specialization on recommender-systems
\nA nice simple video from UC SD on Recommenders UCSD Recommender Sampler
\n
\n Deploying Machine Learning Models UC SD - Introduction to Recommender Systems UCSD Sampler 2Recommender Systems: Past, Present and Future Recommender system intro
\nHybrid Recommender Systems from Advanced Recommender Systems U Minn Introduction to Recommender Systems: Non-Personalized and Content-Based
\nMachine Learning Foundations: A Case Study Approach - Building a recommender system via classification
\nA Nice course - Recommender System Introduction - You'll Learn Dimensionality Reduction, Unsupervised Learning, Cluster Analysis, Recommender Systems, Matrix Factorization - Unsupervised Algorithms in Machine Learning
\nA Nice one from Udemy as well Recommender Systems and Deep Learning in Python
\nA Nice Datacamp Tutorial Beginner Tutorial: Recommender Systems in Python
\nA Sampler on edX course from a pioneering institute - University of Montreal Recommender Systems: Behind the Screen
\n
A Nice one from Udemy as well Recommender Systems and Deep Learning in Python I support it is the best resource to learn
", "rawMarkdown": "A Nice one from Udemy as well Recommender Systems and Deep Learning in Python I support it is the best resource to learn", "votes": null }, { "id": "2015325", "postDate": "11/03/2022 07:54:13", "content": "Thanks @zvr842 for your comments!
", "rawMarkdown": "Thanks @zvr842 for your comments!", "votes": null } ], "comments": [ { "id": 2013859, "author_name": "zvr842", "author_url": "", "post_date": "11/02/2022 06:52:29", "content": "A Nice one from Udemy as well Recommender Systems and Deep Learning in Python I support it is the best resource to learn
", "votes": null, "replies": [ { "id": 2015325, "author_name": "kalilurrahman", "author_url": "", "post_date": "11/03/2022 07:54:13", "content": "Thanks @zvr842 for your comments!
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2013753": "# 💥🔮🏆Some good training/learning resources on Recommender Systems🏆🔮💥\n\nIn addition to the great course we have in Kaggle, there are plenty of excellent resources available. Some are\n\n> One from the masters who developed so much innovation - [Recommendation Systems training from Google Developers] (https://developers.google.com/machine-learning/recommendation)\n\n> Microsoft Repository on Recommenders - [MSFT Gihub](https://github.com/microsoft/recommenders)\n\n> A great course from Coursera on Recommender Systems which is a Specialization [Coursera Specialization on recommender-systems](https://www.coursera.org/specializations/recommender-systems)\n\n> A nice simple video from UC SD on Recommenders [UCSD Recommender Sampler ](https://www.coursera.org/videos/big-data-ai-ethics/Qp5Ek)\n> Deploying Machine Learning Models UC SD - Introduction to Recommender Systems [UCSD Sampler 2 ](https://www.coursera.org/videos/deploying-machine-learning-models/sIWAt)\n\n> Recommender Systems: Past, Present and Future [Recommender system intro](https://www.coursera.org/videos/recommender-systems-introduction/GqB2e)\n\n> Hybrid Recommender Systems from Advanced Recommender Systems [U Minn Introduction to Recommender Systems: Non-Personalized and Content-Based](https://www.coursera.org/videos/advanced-recommender-systems/sykyt )\n\n> Machine Learning Foundations: A Case Study Approach - [Building a recommender system via classification](https://www.coursera.org/videos/ml-foundations/ucffT)\n\n> A Nice course - Recommender System Introduction - You'll Learn Dimensionality Reduction, Unsupervised Learning, Cluster Analysis, Recommender Systems, Matrix Factorization - [Unsupervised Algorithms in Machine Learning](https://www.coursera.org/videos/unsupervised-algorithms-in-machine-learning/FYoFV )\n\n> A Nice one from Udemy as well [Recommender Systems and Deep Learning in Python](https://www.udemy.com/course/recommender-systems/)\n\n> A Nice Datacamp Tutorial [Beginner Tutorial: Recommender Systems in Python](https://www.datacamp.com/tutorial/recommender-systems-python)\n\n> A Sampler on edX course from a pioneering institute - University of Montreal [Recommender Systems: Behind the Screen](https://www.edx.org/course/recommender-systems-behind-the-screen)\n\n\n\n_________________\n### Best wishes for the competition \n[](https://postimg.cc/jWTcdJ2m)", "2013859": "A Nice one from Udemy as well Recommender Systems and Deep Learning in Python I support it is the best resource to learn", "2015325": "Thanks @zvr842 for your comments!" }, "source": "meta" }