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[UdemyCourseDownloader] Building Recommender Systems with Machine Learning and AI

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Description
Description

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies.



You've seen automated recommendations everywhere - on Netflix's home page, on YouTube, and on Amazon as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the  largest, most prestigious tech employersout there, and by understanding how they work, you'll become very valuable to them.

File list
  • [UdemyCourseDownloader] 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 104.1 MB
  • 01 Getting Started/003 Course Roadmap-en.srt 8.3 KB
  • 01 Getting Started/003 Course Roadmap.mp4 27.6 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]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 181.8 MB

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