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[Tutorialsplanet.NET] Udemy - Building Recommender Systems with Machine Learning and AI

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Description
Udemy - Building Recommender Systems with Machine Learning and AI [TP]

Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.

For more Udemy Courses: https://tutorialsplanet.net

File list
  • [Tutorialsplanet.NET] Udemy - Building Recommender Systems with Machine Learning and AI
  • 01 Getting Started/001 Udemy 101 Getting the Most From This Course-en.srt 3.9 KB
  • 01 Getting Started/001 Udemy 101 Getting the Most From This Course.mp4 19.7 MB
  • 01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt 15.2 KB
  • 01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 36.8 MB
  • 01 Getting Started/003 Course Roadmap-en.srt 8.3 KB
  • 01 Getting Started/003 Course Roadmap.mp4 17.1 MB
  • 01 Getting Started/004 Types of Recommenders-en.srt 6.7 KB
  • 01 Getting Started/004 Types of Recommenders.mp4 26.8 MB
  • 01 Getting Started/005 Understanding You through Implicit and Explicit Ratings-en.srt 8.7 KB
  • 01 Getting Started/005 Understanding You through Implicit and Explicit Ratings.mp4 20.7 MB
  • 01 Getting Started/006 Top-N Recommender Architecture-en.srt 11.6 KB
  • 01 Getting Started/006 Top-N Recommender Architecture.mp4 37.1 MB
  • 01 Getting Started/007 [Quiz] Review the basics of recommender systems.-en.srt 8.9 KB
  • 01 Getting Started/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
  • 02 Introduction to Python [Optional]/008 [Activity] The Basics of Python.mp4 43 MB
  • 02 Introduction to Python [Optional]/009 Data Structures in Python-en.srt 9.5 KB
  • 02 Introduction to Python [Optional]/009 Data Structures in Python.mp4 24.4 MB
  • 02 Introduction to Python [Optional]/010 Functions in Python-en.srt 5.2 KB
  • 02 Introduction to Python [Optional]/010 Functions in Python.mp4 12.3 MB
  • 02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge-en.srt 6.3 KB
  • 02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge.mp4 13.9 MB
  • 03 Evaluating Recommender Systems/012 TrainTest and Cross Validation-en.srt 8.3 KB
  • 03 Evaluating Recommender Systems/012 TrainTest and Cross Validation.mp4 29 MB
  • 03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE)-en.srt 8.5 KB
  • 03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE).mp4 40.3 MB
  • 03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways-en.srt 9.2 KB
  • 03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways.mp4 24.5 MB
  • 03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty-en.srt 10.5 KB
  • 03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty.mp4 13.7 MB
  • 03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests-en.srt 10.9 KB
  • 03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests.mp4 60.9 MB
  • 03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender.-en.srt 5.4 KB
  • 03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender..mp4 12.8 MB
  • 03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt 12.8 KB
  • 03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 64.3 MB
  • 03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py-en.srt 10.7 KB
  • 03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py.mp4 54.4 MB
  • 03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations-en.srt 5 KB
  • 03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations.mp4 21.6 MB
  • 04 A Recommender Engine Framework/021 Our Recommender Engine Architecture-en.srt 14.8 KB
  • 04 A Recommender Engine Framework/021 Our Recommender Engine Architecture.mp4 32.7 MB
  • 04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1-en.srt 7.4 KB
  • 04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1.mp4 37.9 MB
  • 04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2-en.srt 7.9 KB
  • 04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2.mp4 39.6 MB
  • 04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt 6.4 KB
  • 04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation..mp4 34.6 MB
  • 05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt 17.9 KB
  • 05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 61.6 MB
  • 05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs-en.srt 8.1 KB
  • 05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs.mp4 19.6 MB
  • 05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt 10.3 KB
  • 05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4 52.4 MB
  • 05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt 8.6 KB
  • 05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4 46.5 MB
  • 05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt 8.5 KB
  • 05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations.mp4 24.1 MB
  • 06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity-en.srt 10.8 KB
  • 06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity.mp4 59.1 MB
  • 06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics-en.srt 18.8 KB
  • 06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics.mp4 30.7 MB
  • 06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering-en.srt 14.2 KB
  • 06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering.mp4 34.2 MB
  • 06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On-en.srt 9.6 KB
  • 06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On.mp4 48.7 MB
  • 06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering-en.srt 8.8 KB
  • 06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering.mp4 52.2 MB
  • 06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt 4.9 KB
  • 06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On.mp4 26.8 MB
  • 06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt 6.9 KB
  • 06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4 19.7 MB
  • 06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt 2.5 KB
  • 06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4 15.4 MB
  • 06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt 4.4 KB
  • 06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4 9.5 MB
  • 06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders-en.srt 8.2 KB
  • 06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders.mp4 24.8 MB
  • 06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt 4.7 KB
  • 06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens.mp4 23.8 MB
  • 06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters.-en.srt 8.8 KB
  • 06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters..mp4 41.3 MB
  • 06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations-en.srt 4.9 KB
  • 06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations.mp4 21.5 MB
  • 07 Matrix Factorization Methods/043 Principal Component Analysis (PCA)-en.srt 14.1 KB
  • 07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 61.2 MB
  • 07 Matrix Factorization Methods/044 Singular Value Decomposition-en.srt 13.5 KB
  • 07 Matrix Factorization Methods/044 Singular Value Decomposition.mp4 25.1 MB
  • 07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens-en.srt 6.4 KB
  • 07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens.mp4 37.5 MB
  • 07 Matrix Factorization Methods/046 Improving on SVD-en.srt 9.1 KB
  • 07 Matrix Factorization Methods/046 Improving on SVD.mp4 23.1 MB
  • 07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD-en.srt 4 KB
  • 07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD.mp4 12.5 MB
  • 07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt 7.6 KB
  • 07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4 26.5 MB
  • 08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction-en.srt 3.4 KB
  • 08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction.mp4 17.6 MB
  • 08 Introduction to Deep Learning [Optional]/050 Deep Learning Pre-Requisites-en.srt 17.9 KB

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