Building Recommender Systems with Machine Learning and AI


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Torrent Hash : 6AF7C6CCE09FADC67BBCBF7A931E1DB8C6142A62
Torrent Added : 1 Year+ in Other - Other
Torrent Size : 4.45 GB


Building Recommender Systems with Machine Learning and AI
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Torrent File Content (223 files)


Building Recommender Systems with Machine Learning and AI
    8. Introduction to Deep Learning [Optional]
          4. [Activity] Playing with Tensorflow.mp4 -
145.56 MB

     Visit Coursedrive.org.url -
124 bytes

     ReadMe.txt -
220 bytes

     Visit Coursedrive.org.url -
124 bytes

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

          1. Udemy 101 Getting the Most From This Course.srt -
4.04 KB

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

          2. [Activity] Install Anaconda, course materials, and create movie recommendations!.srt -
17.13 KB

          3. Course Roadmap.mp4 -
27.58 MB

          3. Course Roadmap.srt -
9.89 KB

          4. Types of Recommenders.mp4 -
26.82 MB

          4. Types of Recommenders.srt -
7.33 KB

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

          5. Understanding You through Implicit and Explicit Ratings.srt -
9.6 KB

          6. Top-N Recommender Architecture.mp4 -
37.09 MB

          6. Top-N Recommender Architecture.srt -
12.75 KB

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

          7. [Quiz] Review the basics of recommender systems..srt -
9.85 KB

    2. Introduction to Python [Optional]
          1. [Activity] The Basics of Python.mp4 -
43.03 MB

          1. [Activity] The Basics of Python.srt -
9.6 KB

          2. Data Structures in Python.mp4 -
24.41 MB

          2. Data Structures in Python.srt -
10.42 KB

          3. Functions in Python.mp4 -
12.27 MB

          3. Functions in Python.srt -
5.71 KB

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

          4. [Exercise] Booleans, loops, and a hands-on challenge.srt -
6.87 KB

    3. Evaluating Recommender Systems
          1. TrainTest and Cross Validation.mp4 -
29.05 MB

          1. TrainTest and Cross Validation.srt -
9.24 KB

          2. Accuracy Metrics (RMSE, MAE).mp4 -
40.28 MB

          2. Accuracy Metrics (RMSE, MAE).srt -
9.31 KB

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

          3. Top-N Hit Rate - Many Ways.srt -
10.12 KB

          4. Coverage, Diversity, and Novelty.mp4 -
13.73 MB

          4. Coverage, Diversity, and Novelty.srt -
11.89 KB

          5. Churn, Responsiveness, and AB Tests.mp4 -
60.94 MB

          5. Churn, Responsiveness, and AB Tests.srt -
12.06 KB

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

          6. [Quiz] Review ways to measure your recommender..srt -
6.01 KB

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

          7. [Activity] Walkthrough of RecommenderMetrics.py.srt -
14.12 KB

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

          8. [Activity] Walkthrough of TestMetrics.py.srt -
11.85 KB

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

          9. [Activity] Measure the Performance of SVD Recommendations.srt -
5.52 KB

    4. A Recommender Engine Framework
          1. Our Recommender Engine Architecture.mp4 -
32.73 MB

          1. Our Recommender Engine Architecture.srt -
16.34 KB

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

          2. [Activity] Recommender Engine Walkthrough, Part 1.srt -
8.14 KB

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

          3. [Activity] Recommender Engine Walkthrough, Part 2.srt -
8.68 KB

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