Udemy - building-recommender-systems-with-machine-learning-and-ai


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Torrent File Content (223 files)


[FreeTutorials.Eu] Udemy - building-recommender-systems-with-machine-learning-and-ai
    01 Getting Started
          001 Udemy 101 Getting the Most From This Course-en.srt -
3.91 KB

          001 Udemy 101 Getting the Most From This Course.mp4 -
19.71 MB

          002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt -
15.24 KB

          002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 -
104.08 MB

          003 Course Roadmap-en.srt -
8.28 KB

          003 Course Roadmap.mp4 -
27.58 MB

          004 Types of Recommenders-en.srt -
6.68 KB

          004 Types of Recommenders.mp4 -
26.82 MB

          005 Understanding You through Implicit and Explicit Ratings-en.srt -
8.75 KB

          005 Understanding You through Implicit and Explicit Ratings.mp4 -
20.72 MB

          006 Top-N Recommender Architecture-en.srt -
11.6 KB

          006 Top-N Recommender Architecture.mp4 -
37.09 MB

          007 [Quiz] Review the basics of recommender systems.-en.srt -
8.91 KB

          007 [Quiz] Review the basics of recommender systems..mp4 -
21.3 MB

    02 Introduction to Python [Optional]
          008 [Activity] The Basics of Python-en.srt -
8.7 KB

          008 [Activity] The Basics of Python.mp4 -
43.03 MB

          009 Data Structures in Python-en.srt -
9.46 KB

          009 Data Structures in Python.mp4 -
24.41 MB

          010 Functions in Python-en.srt -
5.2 KB

          010 Functions in Python.mp4 -
12.27 MB

          011 [Exercise] Booleans loops and a hands-on challenge-en.srt -
6.29 KB

          011 [Exercise] Booleans loops and a hands-on challenge.mp4 -
13.86 MB

    03 Evaluating Recommender Systems
          012 TrainTest and Cross Validation-en.srt -
8.34 KB

          012 TrainTest and Cross Validation.mp4 -
29.05 MB

          013 Accuracy Metrics (RMSE MAE)-en.srt -
8.45 KB

          013 Accuracy Metrics (RMSE MAE).mp4 -
40.28 MB

          014 Top-N Hit Rate - Many Ways-en.srt -
9.19 KB

          014 Top-N Hit Rate - Many Ways.mp4 -
24.53 MB

          015 Coverage Diversity and Novelty-en.srt -
10.51 KB

          015 Coverage Diversity and Novelty.mp4 -
13.73 MB

          016 Churn Responsiveness and AB Tests-en.srt -
10.94 KB

          016 Churn Responsiveness and AB Tests.mp4 -
60.94 MB

          017 [Quiz] Review ways to measure your recommender.-en.srt -
5.44 KB

          017 [Quiz] Review ways to measure your recommender..mp4 -
12.83 MB

          018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt -
12.8 KB

          018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 -
64.3 MB

          019 [Activity] Walkthrough of TestMetrics.py-en.srt -
10.66 KB

          019 [Activity] Walkthrough of TestMetrics.py.mp4 -
54.36 MB

          020 [Activity] Measure the Performance of SVD Recommendations-en.srt -
5 KB

          020 [Activity] Measure the Performance of SVD Recommendations.mp4 -
21.56 MB

    04 A Recommender Engine Framework
          021 Our Recommender Engine Architecture-en.srt -
14.81 KB

          021 Our Recommender Engine Architecture.mp4 -
32.73 MB

          022 [Activity] Recommender Engine Walkthrough Part 1-en.srt -
7.4 KB

          022 [Activity] Recommender Engine Walkthrough Part 1.mp4 -
37.88 MB

          023 [Activity] Recommender Engine Walkthrough Part 2-en.srt -
7.88 KB

          023 [Activity] Recommender Engine Walkthrough Part 2.mp4 -
39.59 MB

          024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt -
6.37 KB

          024 [Activity] Review the Results of our Algorithm Evaluation..mp4 -
34.57 MB

    05 Content-Based Filtering
          025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt -
17.85 KB

          025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 -
61.58 MB

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