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[FreeTutorials Eu] Udemy - building-recommender-systems-with-machine-learning-and-ai

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Title: Udemy - building-recommender-systems-with-machine-learning-andGroup: aiSource: Udemy
Info Hash
1665EA8C2D53504DAC57AFC9B977DAB9EBD9B049
Source
Unverified
Total Size
4.48 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
01 Getting Started/001 Udemy 101 Getting the Most From This Course-en.srt3.91 KB
01 Getting Started/001 Udemy 101 Getting the Most From This Course.mp419.71 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt15.24 KB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4104.08 MB
01 Getting Started/003 Course Roadmap-en.srt8.28 KB
01 Getting Started/003 Course Roadmap.mp427.58 MB
01 Getting Started/004 Types of Recommenders-en.srt6.68 KB
01 Getting Started/004 Types of Recommenders.mp426.82 MB
01 Getting Started/005 Understanding You through Implicit and Explicit Ratings-en.srt8.75 KB
01 Getting Started/005 Understanding You through Implicit and Explicit Ratings.mp420.72 MB
01 Getting Started/006 Top-N Recommender Architecture-en.srt11.6 KB
01 Getting Started/006 Top-N Recommender Architecture.mp437.09 MB
01 Getting Started/007 [Quiz] Review the basics of recommender systems.-en.srt8.91 KB
01 Getting Started/007 [Quiz] Review the basics of recommender systems..mp421.3 MB
02 Introduction to Python [Optional]/008 [Activity] The Basics of Python-en.srt8.7 KB
02 Introduction to Python [Optional]/008 [Activity] The Basics of Python.mp443.03 MB
02 Introduction to Python [Optional]/009 Data Structures in Python-en.srt9.46 KB
02 Introduction to Python [Optional]/009 Data Structures in Python.mp424.41 MB
02 Introduction to Python [Optional]/010 Functions in Python-en.srt5.2 KB
02 Introduction to Python [Optional]/010 Functions in Python.mp412.27 MB
02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge-en.srt6.29 KB
02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge.mp413.86 MB
03 Evaluating Recommender Systems/012 TrainTest and Cross Validation-en.srt8.34 KB
03 Evaluating Recommender Systems/012 TrainTest and Cross Validation.mp429.05 MB
03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE)-en.srt8.45 KB
03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE).mp440.28 MB
03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways-en.srt9.19 KB
03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways.mp424.53 MB
03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty-en.srt10.51 KB
03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty.mp413.73 MB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests-en.srt10.94 KB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests.mp460.94 MB
03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender.-en.srt5.44 KB
03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender..mp412.83 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt12.8 KB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp464.3 MB
03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py-en.srt10.66 KB
03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py.mp454.36 MB
03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations-en.srt5 KB
03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations.mp421.56 MB
04 A Recommender Engine Framework/021 Our Recommender Engine Architecture-en.srt14.81 KB
04 A Recommender Engine Framework/021 Our Recommender Engine Architecture.mp432.73 MB
04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1-en.srt7.4 KB
04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1.mp437.88 MB
04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2-en.srt7.88 KB
04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2.mp439.59 MB
04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt6.37 KB
04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation..mp434.57 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt17.85 KB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp461.58 MB
05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs-en.srt8.14 KB
05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs.mp419.61 MB
05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt10.33 KB
05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp452.36 MB
05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt8.61 KB
05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp446.52 MB
05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt8.49 KB
05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations.mp424.11 MB
06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity-en.srt10.77 KB
06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity.mp459.1 MB
06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics-en.srt18.83 KB
06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics.mp430.68 MB
06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering-en.srt14.23 KB
06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering.mp434.21 MB
06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On-en.srt9.61 KB
06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On.mp448.65 MB
06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering-en.srt8.83 KB
06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering.mp452.23 MB
06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt4.87 KB
06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On.mp426.81 MB
06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt6.95 KB
06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms.mp419.7 MB
06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt2.54 KB
06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp415.43 MB
06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt4.45 KB
06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp49.5 MB
06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders-en.srt8.22 KB
06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders.mp424.85 MB
06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt4.66 KB
06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens.mp423.76 MB
06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters.-en.srt8.79 KB
06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters..mp441.26 MB
06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations-en.srt4.89 KB
06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations.mp421.49 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA)-en.srt14.07 KB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp461.2 MB
07 Matrix Factorization Methods/044 Singular Value Decomposition-en.srt13.54 KB
07 Matrix Factorization Methods/044 Singular Value Decomposition.mp425.07 MB
07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens-en.srt6.39 KB
07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens.mp437.49 MB
07 Matrix Factorization Methods/046 Improving on SVD-en.srt9.08 KB
07 Matrix Factorization Methods/046 Improving on SVD.mp423.07 MB
07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD-en.srt4.02 KB
07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD.mp412.46 MB
07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt7.55 KB
07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp426.46 MB
08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction-en.srt3.35 KB
08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction.mp417.62 MB
08 Introduction to Deep Learning [Optional]/050 Deep Learning Pre-Requisites-en.srt17.85 KB
08 Introduction to Deep Learning [Optional]/050 Deep Learning Pre-Requisites.mp437.05 MB

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