Building Recommender Systems with Machine Learning and AI

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Building Recommender Systems with Machine Learning and AI

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收录时间：2021-03-27
最近下载：2025-09-30

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文件列表

  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/4. [Activity] Playing with Tensorflow.mp4 152.6 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/3. [Activity] Recommendations with RBM's, part 1.mp4 151.5 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/20. [Activity] Sentiment Analysis of Movie Reviews using RNN's and Keras.mp4 125.6 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/6. DSSTNE in Action.mp4 119.2 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/2. [Activity] Install Anaconda, course materials, and create movie recommendations!.mp4 109.1 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/14. [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/7. Introduction to Tensorflow.mp4 97.0 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/7. Filter Bubbles, Trust, and Outliers.mp4 96.9 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/8. [Activity] Handwriting Recognition with Tensorflow, part 1.mp4 95.4 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/9. [Activity] Handwriting Recognition with Tensorflow, part 2.mp4 95.3 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/12. [Activity] Handwriting Recognition with Keras.mp4 92.8 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/3. History of Artificial Neural Networks.mp4 88.3 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/17. [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/15. Intro to Convolutional Neural Networks (CNN's).mp4 82.0 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/4. [Activity] Recommendations with RBM's, part 2.mp4 80.5 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/9. [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/9. SageMaker in Action Factorization Machines on one million ratings, in the cloud.mp4 71.7 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/7. [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/12. Exercise Results GRU4Rec in Action.mp4 65.7 MB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/1. Content-Based Recommendations, and the Cosine Similarity Metric.mp4 64.6 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/1. Principal Component Analysis (PCA).mp4 64.2 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/5. Churn, Responsiveness, and AB Tests.mp4 63.9 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/1. Measuring Similarity, and Sparsity.mp4 62.0 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/10. Fraud, The Perils of Clickstream, and International Concerns.mp4 61.1 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/13. Bleeding Edge Alert! Deep Factorization Machines.mp4 60.1 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/3. [Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.mp4 58.3 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/8. [Activity] Walkthrough of TestMetrics.py.mp4 57.0 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/11. Temporal Effects, and Value-Aware Recommendations.mp4 56.7 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/1. [Activity] Introduction and Installation of Apache Spark.mp4 55.9 MB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/3. [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4 54.9 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/5. Item-based Collaborative Filtering.mp4 54.8 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/4. [Activity] Recommendations from 20 million ratings with Spark.mp4 53.1 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/10. [Activity] Handwriting Recognition with Tensorflow, Part 3.mp4 52.8 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/18. Intro to Recurrent Neural Networks (RNN's).mp4 52.1 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/10. Clickstream Recommendations with RNN's.mp4 51.1 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/4. [Activity] User-based Collaborative Filtering, Hands-On.mp4 51.0 MB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/4. [Activity] Bleeding Edge Alert! Mise en Scene Recommendations.mp4 48.8 MB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/1. [Activity] The Basics of Python.mp4 45.1 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/1. Intro to Deep Learning for Recommenders.mp4 44.7 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/5. Amazon DSSTNE.mp4 44.4 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/12. [Exercise] Experiment with different KNN parameters..mp4 43.3 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/2. Accuracy Metrics (RMSE, MAE).mp4 42.2 MB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/3. [Activity] Recommender Engine Walkthrough, Part 2.mp4 41.5 MB
  • Building Recommender Systems with Machine Learning and AI/14. Wrapping Up/1. More to Explore.mp4 40.8 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/9. Exercise Solution Outlier Removal.mp4 40.4 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/5. Training Neural Networks.mp4 40.2 MB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/2. [Activity] Recommender Engine Walkthrough, Part 1.mp4 39.7 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/5. [Activity] Evaluating the RBM Recommender.mp4 39.5 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/3. [Activity] Running SVD and SVD++ on MovieLens.mp4 39.3 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/6. Top-N Recommender Architecture.mp4 38.9 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/2. Deep Learning Pre-Requisites.mp4 38.8 MB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/4. [Activity] Review the Results of our Algorithm Evaluation..mp4 36.2 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/3. User-based Collaborative Filtering.mp4 35.9 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/6. [Exercise] Tuning Restricted Boltzmann Machines.mp4 35.2 MB
  • Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/2. Exercise Solution Hybrid Recommenders.mp4 34.8 MB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/1. Our Recommender Engine Architecture.mp4 34.3 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/2. Restricted Boltzmann Machines (RBM's).mp4 33.2 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/6. Tuning Neural Networks.mp4 32.5 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/2. Similarity Metrics.mp4 32.2 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/1. TrainTest and Cross Validation.mp4 30.5 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/1. The Cold Start Problem (and solutions).mp4 29.1 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/14. More Emerging Tech to Watch.mp4 29.0 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/3. Course Roadmap.mp4 28.9 MB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/3. Case Study Netflix, Part 1.mp4 28.9 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/8. Auto-Encoders for Recommendations Deep Learning for Recs.mp4 28.2 MB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/1. Case Study YouTube, Part 1.mp4 28.2 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/4. Types of Recommenders.mp4 28.1 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/6. [Activity] Item-based Collaborative Filtering, Hands-On.mp4 28.1 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/6. Exercise Solution Implement a Stoplist.mp4 28.0 MB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/4. Case Study Netflix, Part 2.mp4 27.9 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/6. Bleeding Edge Alert! Sparse Linear Methods (SLIM).mp4 27.8 MB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/2. Case Study YouTube, Part 2.mp4 27.5 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/10. KNN Recommenders.mp4 26.1 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/13. Classifier Patterns with Keras.mp4 26.0 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/3. Top-N Hit Rate - Many Ways.mp4 25.7 MB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/2. Data Structures in Python.mp4 25.6 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/2. Singular Value Decomposition.mp4 25.5 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/3. Exercise Solution Random Exploration.mp4 25.3 MB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/5. [Exercise] Dive Deeper into Content-Based Recommendations.mp4 25.3 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/11. [Activity] Running User and Item-Based KNN on MovieLens.mp4 24.9 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/4. Improving on SVD.mp4 24.2 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/16. CNN Architectures.mp4 23.6 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/9. [Activity] Measure the Performance of SVD Recommendations.mp4 22.6 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/7. [Quiz] Review the basics of recommender systems..mp4 22.3 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/13. Bleeding Edge Alert! Translation-Based Recommendations.mp4 22.3 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/19. Training Recurrent Neural Networks.mp4 21.7 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/5. Understanding You through Implicit and Explicit Ratings.mp4 21.7 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/4. Stoplists.mp4 20.9 MB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/1. Udemy 101 Getting the Most From This Course.mp4 20.7 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/7. [Exercise] Tuning Collaborative Filtering Algorithms.mp4 20.7 MB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/2. K-Nearest-Neighbors and Content Recs.mp4 20.6 MB
  • Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/1. Hybrid Recommenders and Exercise.mp4 19.3 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/1. Deep Learning Introduction.mp4 18.5 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/2. Apache Spark Architecture.mp4 18.2 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/11. Introduction to Keras.mp4 17.3 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/8. AWS SageMaker and Factorization Machines.mp4 16.3 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/8. [Activity] Evaluating Collaborative Filtering Systems Offline.mp4 16.2 MB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/4. [Exercise] Booleans, loops, and a hands-on challenge.mp4 14.5 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/4. Coverage, Diversity, and Novelty.mp4 14.4 MB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/6. [Quiz] Review ways to measure your recommender..mp4 13.5 MB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/3. Functions in Python.mp4 12.9 MB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/5. [Exercise] Tune the hyperparameters on SVD.mp4 12.4 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/7. Exercise Results Tuning a RBM Recommender.mp4 12.4 MB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/7. Scaling Up DSSTNE.mp4 10.9 MB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/9. [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4 10.0 MB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/11. [Exercise] Get GRU4Rec Working on your Desktop.mp4 7.8 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/2. [Exercise] Implement Random Exploration.mp4 2.3 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/8. [Exercise] Identify and Eliminate Outlier Users.mp4 1.9 MB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/5. [Exercise] Implement a Stoplist.mp4 1.4 MB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/7. Introduction to Tensorflow.srt 29.4 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/3. [Activity] Recommendations with RBM's, part 1.srt 28.4 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/20. [Activity] Sentiment Analysis of Movie Reviews using RNN's and Keras.srt 25.7 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/4. [Activity] Playing with Tensorflow.srt 25.5 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/3. History of Artificial Neural Networks.srt 25.4 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/12. [Activity] Handwriting Recognition with Keras.srt 21.8 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/2. Similarity Metrics.srt 21.4 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/9. [Activity] Handwriting Recognition with Tensorflow, part 2.srt 20.3 kB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/1. Content-Based Recommendations, and the Cosine Similarity Metric.srt 20.3 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/14. [Exercise] Predict Political Parties of Politicians with Keras.srt 20.2 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/15. Intro to Convolutional Neural Networks (CNN's).srt 20.2 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/2. Deep Learning Pre-Requisites.srt 20.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/17. [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).srt 18.9 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/12. Exercise Results GRU4Rec in Action.srt 18.6 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/2. Restricted Boltzmann Machines (RBM's).srt 18.5 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/18. Intro to Recurrent Neural Networks (RNN's).srt 17.6 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/2. [Activity] Install Anaconda, course materials, and create movie recommendations!.srt 17.5 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/8. [Activity] Handwriting Recognition with Tensorflow, part 1.srt 17.3 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/10. Clickstream Recommendations with RNN's.srt 17.2 kB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/1. Our Recommender Engine Architecture.srt 16.7 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/3. User-based Collaborative Filtering.srt 16.0 kB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/2. Case Study YouTube, Part 2.srt 16.0 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/1. Principal Component Analysis (PCA).srt 16.0 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/4. [Activity] Recommendations with RBM's, part 2.srt 15.9 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/9. [Activity] Recommendations with Deep Neural Networks.srt 15.0 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/1. The Cold Start Problem (and solutions).srt 14.9 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/2. Singular Value Decomposition.srt 14.7 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/9. SageMaker in Action Factorization Machines on one million ratings, in the cloud.srt 14.6 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/7. [Activity] Walkthrough of RecommenderMetrics.py.srt 14.5 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/5. Training Neural Networks.srt 14.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/10. [Activity] Handwriting Recognition with Tensorflow, Part 3.srt 13.8 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/7. Filter Bubbles, Trust, and Outliers.srt 13.7 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/6. DSSTNE in Action.srt 13.2 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/6. Top-N Recommender Architecture.srt 13.1 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/13. Bleeding Edge Alert! Deep Factorization Machines.srt 12.9 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/3. [Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.srt 12.6 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/5. Churn, Responsiveness, and AB Tests.srt 12.4 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/1. Measuring Similarity, and Sparsity.srt 12.3 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/4. Coverage, Diversity, and Novelty.srt 12.2 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/8. [Activity] Walkthrough of TestMetrics.py.srt 12.1 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/14. More Emerging Tech to Watch.srt 11.9 kB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/3. [Activity] Producing and Evaluating Content-Based Movie Recommendations.srt 11.7 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/4. Stoplists.srt 11.6 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/2. Apache Spark Architecture.srt 11.6 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/4. [Activity] User-based Collaborative Filtering, Hands-On.srt 10.9 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/10. Fraud, The Perils of Clickstream, and International Concerns.srt 10.9 kB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/2. Data Structures in Python.srt 10.7 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/8. Auto-Encoders for Recommendations Deep Learning for Recs.srt 10.6 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/3. Top-N Hit Rate - Many Ways.srt 10.4 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/5. Amazon DSSTNE.srt 10.4 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/4. Improving on SVD.srt 10.2 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/5. Item-based Collaborative Filtering.srt 10.2 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/3. Course Roadmap.srt 10.1 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/7. [Quiz] Review the basics of recommender systems..srt 10.1 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/12. [Exercise] Experiment with different KNN parameters..srt 9.9 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/5. Understanding You through Implicit and Explicit Ratings.srt 9.8 kB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/1. [Activity] The Basics of Python.srt 9.8 kB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/4. [Activity] Bleeding Edge Alert! Mise en Scene Recommendations.srt 9.7 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/2. Accuracy Metrics (RMSE, MAE).srt 9.5 kB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/5. [Exercise] Dive Deeper into Content-Based Recommendations.srt 9.5 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/8. AWS SageMaker and Factorization Machines.srt 9.5 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/1. [Activity] Introduction and Installation of Apache Spark.srt 9.5 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/1. TrainTest and Cross Validation.srt 9.5 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/4. [Activity] Recommendations from 20 million ratings with Spark.srt 9.4 kB
  • Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/2. Exercise Solution Hybrid Recommenders.srt 9.4 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/10. KNN Recommenders.srt 9.3 kB
  • Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/2. K-Nearest-Neighbors and Content Recs.srt 9.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/6. Tuning Neural Networks.srt 9.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/13. Classifier Patterns with Keras.srt 9.0 kB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/3. [Activity] Recommender Engine Walkthrough, Part 2.srt 8.9 kB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/3. Case Study Netflix, Part 1.srt 8.6 kB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/4. Case Study Netflix, Part 2.srt 8.6 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/9. Exercise Solution Outlier Removal.srt 8.5 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/11. Temporal Effects, and Value-Aware Recommendations.srt 8.4 kB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/2. [Activity] Recommender Engine Walkthrough, Part 1.srt 8.3 kB
  • Building Recommender Systems with Machine Learning and AI/12. Case Studies/1. Case Study YouTube, Part 1.srt 8.1 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/6. Bleeding Edge Alert! Sparse Linear Methods (SLIM).srt 8.0 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/7. [Exercise] Tuning Collaborative Filtering Algorithms.srt 7.8 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/4. Types of Recommenders.srt 7.5 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/5. [Activity] Evaluating the RBM Recommender.srt 7.5 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/19. Training Recurrent Neural Networks.srt 7.4 kB
  • Building Recommender Systems with Machine Learning and AI/14. Wrapping Up/2. Bonus Lecture Discounts to continue your journey!.html 7.3 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/3. [Activity] Running SVD and SVD++ on MovieLens.srt 7.2 kB
  • Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/4. [Activity] Review the Results of our Algorithm Evaluation..srt 7.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/16. CNN Architectures.srt 7.1 kB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/4. [Exercise] Booleans, loops, and a hands-on challenge.srt 7.0 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/11. Introduction to Keras.srt 7.0 kB
  • Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/1. Hybrid Recommenders and Exercise.srt 6.2 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/6. [Quiz] Review ways to measure your recommender..srt 6.2 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/11. [Exercise] Get GRU4Rec Working on your Desktop.srt 6.0 kB
  • Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/3. Functions in Python.srt 5.8 kB
  • Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/9. [Activity] Measure the Performance of SVD Recommendations.srt 5.7 kB
  • Building Recommender Systems with Machine Learning and AI/14. Wrapping Up/1. More to Explore.srt 5.6 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/6. [Activity] Item-based Collaborative Filtering, Hands-On.srt 5.5 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/13. Bleeding Edge Alert! Translation-Based Recommendations.srt 5.4 kB
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  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/11. [Activity] Running User and Item-Based KNN on MovieLens.srt 5.2 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/9. [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.srt 5.0 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/6. Exercise Solution Implement a Stoplist.srt 4.8 kB
  • Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/7. Scaling Up DSSTNE.srt 4.7 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/3. Exercise Solution Random Exploration.srt 4.7 kB
  • Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/5. [Exercise] Tune the hyperparameters on SVD.srt 4.5 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/6. [Exercise] Tuning Restricted Boltzmann Machines.srt 4.3 kB
  • Building Recommender Systems with Machine Learning and AI/1. Getting Started/1. Udemy 101 Getting the Most From This Course.srt 4.1 kB
  • Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/1. Deep Learning Introduction.srt 3.7 kB
  • Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/8. [Activity] Evaluating Collaborative Filtering Systems Offline.srt 2.9 kB
  • Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/7. Exercise Results Tuning a RBM Recommender.srt 2.7 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/8. [Exercise] Identify and Eliminate Outlier Users.srt 2.0 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/2. [Exercise] Implement Random Exploration.srt 2.0 kB
  • Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/5. [Exercise] Implement a Stoplist.srt 1.4 kB
  • Building Recommender Systems with Machine Learning and AI/ReadMe.txt 220 Bytes
  • ReadMe.txt 220 Bytes
  • Visit Coursedrive.org.url 124 Bytes
  • Building Recommender Systems with Machine Learning and AI/Visit Coursedrive.org.url 124 Bytes

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