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

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[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)
  • 001 Udemy 101 Getting the Most From This Course.mp4 (19.7 MB)
  • 002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt (15.2 KB)
  • 002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 (36.8 MB)
  • 003 Course Roadmap-en.srt (8.3 KB)
  • 003 Course Roadmap.mp4 (17.1 MB)
  • 004 Types of Recommenders-en.srt (6.7 KB)
  • 004 Types of Recommenders.mp4 (26.8 MB)
  • 005 Understanding You through Implicit and Explicit Ratings-en.srt (8.7 KB)
  • 005 Understanding You through Implicit and Explicit Ratings.mp4 (20.7 MB)
  • 006 Top-N Recommender Architecture-en.srt (11.6 KB)
  • 006 Top-N Recommender Architecture.mp4 (37.1 MB)
  • 007 [Quiz] Review the basics of recommender systems.-en.srt (8.9 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 (43.0 MB)
  • 009 Data Structures in Python-en.srt (9.5 KB)
  • 009 Data Structures in Python.mp4 (24.4 MB)
  • 010 Functions in Python-en.srt (5.2 KB)
  • 010 Functions in Python.mp4 (12.3 MB)
  • 011 [Exercise] Booleans loops and a hands-on challenge-en.srt (6.3 KB)
  • 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)
  • 012 TrainTest and Cross Validation.mp4 (29.0 MB)
  • 013 Accuracy Metrics (RMSE MAE)-en.srt (8.5 KB)
  • 013 Accuracy Metrics (RMSE MAE).mp4 (40.3 MB)
  • 014 Top-N Hit Rate - Many Ways-en.srt (9.2 KB)
  • 014 Top-N Hit Rate - Many Ways.mp4 (24.5 MB)
  • 015 Coverage Diversity and Novelty-en.srt (10.5 KB)
  • 015 Coverage Diversity and Novelty.mp4 (13.7 MB)
  • 016 Churn Responsiveness and AB Tests-en.srt (10.9 KB)
  • 016 Churn Responsiveness and AB Tests.mp4 (60.9 MB)
  • 017 [Quiz] Review ways to measure your recommender.-en.srt (5.4 KB)
  • 017 [Quiz] Review ways to measure your recommender..mp4 (12.8 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 (10.7 KB)
  • 019 [Activity] Walkthrough of TestMetrics.py.mp4 (54.4 MB)
  • 020 [Activity] Measure the Performance of SVD Recommendations-en.srt (5.0 KB)
  • 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)
  • 021 Our Recommender Engine Architecture.mp4 (32.7 MB)
  • 022 [Activity] Recommender Engine Walkthrough Part 1-en.srt (7.4 KB)
  • 022 [Activity] Recommender Engine Walkthrough Part 1.mp4 (37.9 MB)
  • 023 [Activity] Recommender Engine Walkthrough Part 2-en.srt (7.9 KB)
  • 023 [Activity] Recommender Engine Walkthrough Part 2.mp4 (39.6 MB)
  • 024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt (6.4 KB)
  • 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)
  • 025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 (61.6 MB)
  • 026 K-Nearest-Neighbors and Content Recs-en.srt (8.1 KB)
  • 026 K-Nearest-Neighbors and Content Recs.mp4 (19.6 MB)
  • 027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt (10.3 KB)
  • 027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4 (52.4 MB)
  • 028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt (8.6 KB)
  • 028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4 (46.5 MB)
  • 029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt (8.5 KB)
  • 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)
  • 030 Measuring Similarity and Sparsity.mp4 (59.1 MB)
  • 031 Similarity Metrics-en.srt (18.8 KB)
  • 031 Similarity Metrics.mp4 (30.7 MB)
  • 032 User-based Collaborative Filtering-en.srt (14.2 KB)
  • 032 User-based Collaborative Filtering.mp4 (34.2 MB)
  • 033 [Activity] User-based Collaborative Filtering Hands-On-en.srt (9.6 KB)
  • 033 [Activity] User-based Collaborative Filtering Hands-On.mp4 (48.7 MB)
  • 034 Item-based Collaborative Filtering-en.srt (8.8 KB)
  • 034 Item-based Collaborative Filtering.mp4 (52.2 MB)
  • 035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt (4.9 KB)
  • 035 [Activity] Item-based Collaborative Filtering Hands-On.mp4 (26.8 MB)
  • 036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt (6.9 KB)
  • 036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4 (19.7 MB)
  • 037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt (2.5 KB)
  • 037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4 (15.4 MB)
  • 038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt (4.4 KB)
  • 038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4 (9.5 MB)
  • 039 KNN Recommenders-en.srt (8.2 KB)
  • 039 KNN Recommenders.mp4 (24.8 MB)
  • 040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt (4.7 KB)
  • 040 [Activity] Running User and Item-Based KNN on MovieLens.mp4 (23.8 MB)
  • 041 [Exercise] Experiment with different KNN parameters.-en.srt (8.8 KB)
  • 041 [Exercise] Experiment with different KNN parameters..mp4 (41.3 MB)
  • 042 Bleeding Edge Alert Translation-Based Recommendations-en.srt (4.9 KB)
  • 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)
  • 043 Principal Component Analysis (PCA).mp4 (61.2 MB)
  • 044 Singular Value Decomposition-en.srt (13.5 KB)
  • 044 Singular Value Decomposition.mp4 (25.1 MB)

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



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

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4.4 GB
seeders:13
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Udemy - Building Recommender Systems with Machine Learning and AI [TP]

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