Index of Z:\Archivists • 13 • Lynda\Building Recommender Systems with Machine Learning and AI

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NameSizeDate Modified
01 Getting Started201 MB1/12/2021 7:57 PM
02 Introduction to Python21.6 MB1/12/2021 7:57 PM
03 Evaluating Recommender Systems119 MB1/12/2021 7:57 PM
04 A Recommender Engine Framework45.7 MB1/12/2021 7:58 PM
05 Content-Based Filtering71.6 MB1/12/2021 7:58 PM
06 Neighborhood-Based Collaborative Filtering156 MB1/12/2021 7:59 PM
07 Matrix Factorization Methods70.8 MB1/12/2021 7:59 PM
08 Introduction to Deep Learning397 MB1/12/2021 8:00 PM
09 Deep Learning for Recommender Systems212 MB1/12/2021 8:00 PM
10 Scaling It Up144 MB1/12/2021 8:01 PM
11 Real-World Challenges of Recommender Systems121 MB1/12/2021 8:02 PM
12 Case Studies37.7 MB1/12/2021 8:02 PM
13 Hybrid Approaches17.2 MB1/12/2021 8:03 PM
14 Conclusion15.4 MB1/12/2021 8:04 PM
Building Recommender Systems with Machine Learning and AI-description.txt1.29 KB6/4/2020 12:55 PM
Ex_Files_Rec_Machine_Learning_AI_Upd.zip1.81 MB6/4/2020 12:55 PM