/.../8. Introduction to Deep Learning [Optional]/
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4. [Activity] Playing with Tensorflow.mp4
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152.6 MB
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1. Deep Learning Introduction.mp4
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18.5 MB
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1. Deep Learning Introduction.srt
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3.7 KB
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2. Deep Learning Pre-Requisites.mp4
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38.8 MB
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2. Deep Learning Pre-Requisites.srt
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20.1 KB
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3. History of Artificial Neural Networks.mp4
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88.3 MB
|
3. History of Artificial Neural Networks.srt
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25.4 KB
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4. [Activity] Playing with Tensorflow.srt
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25.5 KB
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5. Training Neural Networks.mp4
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40.2 MB
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5. Training Neural Networks.srt
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14.1 KB
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6. Tuning Neural Networks.mp4
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32.5 MB
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6. Tuning Neural Networks.srt
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9.1 KB
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7. Introduction to Tensorflow.mp4
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97.0 MB
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7. Introduction to Tensorflow.srt
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29.4 KB
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8. [Activity] Handwriting Recognition with Tensorflow, part 1.mp4
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95.4 MB
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8. [Activity] Handwriting Recognition with Tensorflow, part 1.srt
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17.3 KB
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9. [Activity] Handwriting Recognition with Tensorflow, part 2.mp4
|
95.3 MB
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9. [Activity] Handwriting Recognition with Tensorflow, part 2.srt
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20.3 KB
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10. [Activity] Handwriting Recognition with Tensorflow, Part 3.mp4
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52.8 MB
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10. [Activity] Handwriting Recognition with Tensorflow, Part 3.srt
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13.8 KB
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11. Introduction to Keras.mp4
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17.3 MB
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11. Introduction to Keras.srt
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7.0 KB
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12. [Activity] Handwriting Recognition with Keras.mp4
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92.8 MB
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12. [Activity] Handwriting Recognition with Keras.srt
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21.8 KB
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13. Classifier Patterns with Keras.mp4
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26.0 MB
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13. Classifier Patterns with Keras.srt
|
9.0 KB
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14. [Exercise] Predict Political Parties of Politicians with Keras.mp4
|
105.1 MB
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14. [Exercise] Predict Political Parties of Politicians with Keras.srt
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20.2 KB
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15. Intro to Convolutional Neural Networks (CNN's).mp4
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82.0 MB
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15. Intro to Convolutional Neural Networks (CNN's).srt
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20.2 KB
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16. CNN Architectures.mp4
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23.6 MB
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16. CNN Architectures.srt
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7.1 KB
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17. [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4
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86.3 MB
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17. [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).srt
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18.9 KB
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18. Intro to Recurrent Neural Networks (RNN's).mp4
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52.1 MB
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18. Intro to Recurrent Neural Networks (RNN's).srt
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17.6 KB
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19. Training Recurrent Neural Networks.mp4
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21.7 MB
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19. Training Recurrent Neural Networks.srt
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7.4 KB
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20. [Activity] Sentiment Analysis of Movie Reviews using RNN's and Keras.mp4
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125.6 MB
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20. [Activity] Sentiment Analysis of Movie Reviews using RNN's and Keras.srt
|
25.7 KB
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/
|
Visit Coursedrive.org.url
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0.1 KB
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ReadMe.txt
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0.2 KB
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/Building Recommender Systems with Machine Learning and AI/
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ReadMe.txt
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0.2 KB
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Visit Coursedrive.org.url
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0.1 KB
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/1. Getting Started/
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1. Udemy 101 Getting the Most From This Course.mp4
|
20.7 MB
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1. Udemy 101 Getting the Most From This Course.srt
|
4.1 KB
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2. [Activity] Install Anaconda, course materials, and create movie recommendations!.mp4
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109.1 MB
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2. [Activity] Install Anaconda, course materials, and create movie recommendations!.srt
|
17.5 KB
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3. Course Roadmap.mp4
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28.9 MB
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3. Course Roadmap.srt
|
10.1 KB
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4. Types of Recommenders.mp4
|
28.1 MB
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4. Types of Recommenders.srt
|
7.5 KB
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5. Understanding You through Implicit and Explicit Ratings.mp4
|
21.7 MB
|
5. Understanding You through Implicit and Explicit Ratings.srt
|
9.8 KB
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6. Top-N Recommender Architecture.mp4
|
38.9 MB
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6. Top-N Recommender Architecture.srt
|
13.1 KB
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7. [Quiz] Review the basics of recommender systems..mp4
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22.3 MB
|
7. [Quiz] Review the basics of recommender systems..srt
|
10.1 KB
|
/.../2. Introduction to Python [Optional]/
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1. [Activity] The Basics of Python.mp4
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45.1 MB
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1. [Activity] The Basics of Python.srt
|
9.8 KB
|
2. Data Structures in Python.mp4
|
25.6 MB
|
2. Data Structures in Python.srt
|
10.7 KB
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3. Functions in Python.mp4
|
12.9 MB
|
3. Functions in Python.srt
|
5.8 KB
|
4. [Exercise] Booleans, loops, and a hands-on challenge.mp4
|
14.5 MB
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4. [Exercise] Booleans, loops, and a hands-on challenge.srt
|
7.0 KB
|
/.../3. Evaluating Recommender Systems/
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1. TrainTest and Cross Validation.mp4
|
30.5 MB
|
1. TrainTest and Cross Validation.srt
|
9.5 KB
|
2. Accuracy Metrics (RMSE, MAE).mp4
|
42.2 MB
|
2. Accuracy Metrics (RMSE, MAE).srt
|
9.5 KB
|
3. Top-N Hit Rate - Many Ways.mp4
|
25.7 MB
|
3. Top-N Hit Rate - Many Ways.srt
|
10.4 KB
|
4. Coverage, Diversity, and Novelty.mp4
|
14.4 MB
|
4. Coverage, Diversity, and Novelty.srt
|
12.2 KB
|
5. Churn, Responsiveness, and AB Tests.mp4
|
63.9 MB
|
5. Churn, Responsiveness, and AB Tests.srt
|
12.4 KB
|
6. [Quiz] Review ways to measure your recommender..mp4
|
13.5 MB
|
6. [Quiz] Review ways to measure your recommender..srt
|
6.2 KB
|
7. [Activity] Walkthrough of RecommenderMetrics.py.mp4
|
67.4 MB
|
7. [Activity] Walkthrough of RecommenderMetrics.py.srt
|
14.5 KB
|
8. [Activity] Walkthrough of TestMetrics.py.mp4
|
57.0 MB
|
8. [Activity] Walkthrough of TestMetrics.py.srt
|
12.1 KB
|
9. [Activity] Measure the Performance of SVD Recommendations.mp4
|
22.6 MB
|
9. [Activity] Measure the Performance of SVD Recommendations.srt
|
5.7 KB
|
/.../4. A Recommender Engine Framework/
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1. Our Recommender Engine Architecture.mp4
|
34.3 MB
|
1. Our Recommender Engine Architecture.srt
|
16.7 KB
|
2. [Activity] Recommender Engine Walkthrough, Part 1.mp4
|
39.7 MB
|
2. [Activity] Recommender Engine Walkthrough, Part 1.srt
|
8.3 KB
|
3. [Activity] Recommender Engine Walkthrough, Part 2.mp4
|
41.5 MB
|
3. [Activity] Recommender Engine Walkthrough, Part 2.srt
|
8.9 KB
|
4. [Activity] Review the Results of our Algorithm Evaluation..mp4
|
36.2 MB
|
4. [Activity] Review the Results of our Algorithm Evaluation..srt
|
7.1 KB
|
/.../5. Content-Based Filtering/
|
1. Content-Based Recommendations, and the Cosine Similarity Metric.mp4
|
64.6 MB
|
1. Content-Based Recommendations, and the Cosine Similarity Metric.srt
|
20.3 KB
|
2. K-Nearest-Neighbors and Content Recs.mp4
|
20.6 MB
|
2. K-Nearest-Neighbors and Content Recs.srt
|
9.1 KB
|
3. [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4
|
54.9 MB
|
3. [Activity] Producing and Evaluating Content-Based Movie Recommendations.srt
|
11.7 KB
|
4. [Activity] Bleeding Edge Alert! Mise en Scene Recommendations.mp4
|
48.8 MB
|
4. [Activity] Bleeding Edge Alert! Mise en Scene Recommendations.srt
|
9.7 KB
|
5. [Exercise] Dive Deeper into Content-Based Recommendations.mp4
|
25.3 MB
|
5. [Exercise] Dive Deeper into Content-Based Recommendations.srt
|
9.5 KB
|
/.../6. Neighborhood-Based Collaborative Filtering/
|
1. Measuring Similarity, and Sparsity.mp4
|
62.0 MB
|
1. Measuring Similarity, and Sparsity.srt
|
12.3 KB
|
2. Similarity Metrics.mp4
|
32.2 MB
|
2. Similarity Metrics.srt
|
21.4 KB
|
3. User-based Collaborative Filtering.mp4
|
35.9 MB
|
3. User-based Collaborative Filtering.srt
|
16.0 KB
|
4. [Activity] User-based Collaborative Filtering, Hands-On.mp4
|
51.0 MB
|
4. [Activity] User-based Collaborative Filtering, Hands-On.srt
|
10.9 KB
|
5. Item-based Collaborative Filtering.mp4
|
54.8 MB
|
5. Item-based Collaborative Filtering.srt
|
10.2 KB
|
6. [Activity] Item-based Collaborative Filtering, Hands-On.mp4
|
28.1 MB
|
6. [Activity] Item-based Collaborative Filtering, Hands-On.srt
|
5.5 KB
|
7. [Exercise] Tuning Collaborative Filtering Algorithms.mp4
|
20.7 MB
|
7. [Exercise] Tuning Collaborative Filtering Algorithms.srt
|
7.8 KB
|
8. [Activity] Evaluating Collaborative Filtering Systems Offline.mp4
|
16.2 MB
|
8. [Activity] Evaluating Collaborative Filtering Systems Offline.srt
|
2.9 KB
|
9. [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4
|
10.0 MB
|
9. [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.srt
|
5.0 KB
|
10. KNN Recommenders.mp4
|
26.1 MB
|
10. KNN Recommenders.srt
|
9.3 KB
|
11. [Activity] Running User and Item-Based KNN on MovieLens.mp4
|
24.9 MB
|
11. [Activity] Running User and Item-Based KNN on MovieLens.srt
|
5.2 KB
|
12. [Exercise] Experiment with different KNN parameters..mp4
|
43.3 MB
|
12. [Exercise] Experiment with different KNN parameters..srt
|
9.9 KB
|
13. Bleeding Edge Alert! Translation-Based Recommendations.mp4
|
22.3 MB
|
13. Bleeding Edge Alert! Translation-Based Recommendations.srt
|
5.4 KB
|
/.../7. Matrix Factorization Methods/
|
1. Principal Component Analysis (PCA).mp4
|
64.2 MB
|
1. Principal Component Analysis (PCA).srt
|
16.0 KB
|
2. Singular Value Decomposition.mp4
|
25.5 MB
|
2. Singular Value Decomposition.srt
|
14.7 KB
|
3. [Activity] Running SVD and SVD++ on MovieLens.mp4
|
39.3 MB
|
3. [Activity] Running SVD and SVD++ on MovieLens.srt
|
7.2 KB
|
4. Improving on SVD.mp4
|
24.2 MB
|
4. Improving on SVD.srt
|
10.2 KB
|
5. [Exercise] Tune the hyperparameters on SVD.mp4
|
12.4 MB
|
5. [Exercise] Tune the hyperparameters on SVD.srt
|
4.5 KB
|
6. Bleeding Edge Alert! Sparse Linear Methods (SLIM).mp4
|
27.8 MB
|
6. Bleeding Edge Alert! Sparse Linear Methods (SLIM).srt
|
8.0 KB
|
/.../9. Deep Learning for Recommender Systems/
|
1. Intro to Deep Learning for Recommenders.mp4
|
44.7 MB
|
1. Intro to Deep Learning for Recommenders.srt
|
5.4 KB
|
2. Restricted Boltzmann Machines (RBM's).mp4
|
33.2 MB
|
2. Restricted Boltzmann Machines (RBM's).srt
|
18.5 KB
|
3. [Activity] Recommendations with RBM's, part 1.mp4
|
151.5 MB
|
3. [Activity] Recommendations with RBM's, part 1.srt
|
28.4 KB
|
4. [Activity] Recommendations with RBM's, part 2.mp4
|
80.5 MB
|
4. [Activity] Recommendations with RBM's, part 2.srt
|
15.9 KB
|
5. [Activity] Evaluating the RBM Recommender.mp4
|
39.5 MB
|
5. [Activity] Evaluating the RBM Recommender.srt
|
7.5 KB
|
6. [Exercise] Tuning Restricted Boltzmann Machines.mp4
|
35.2 MB
|
6. [Exercise] Tuning Restricted Boltzmann Machines.srt
|
4.3 KB
|
7. Exercise Results Tuning a RBM Recommender.mp4
|
12.4 MB
|
7. Exercise Results Tuning a RBM Recommender.srt
|
2.7 KB
|
8. Auto-Encoders for Recommendations Deep Learning for Recs.mp4
|
28.2 MB
|
8. Auto-Encoders for Recommendations Deep Learning for Recs.srt
|
10.6 KB
|
9. [Activity] Recommendations with Deep Neural Networks.mp4
|
79.1 MB
|
9. [Activity] Recommendations with Deep Neural Networks.srt
|
15.0 KB
|
10. Clickstream Recommendations with RNN's.mp4
|
51.1 MB
|
10. Clickstream Recommendations with RNN's.srt
|
17.2 KB
|
11. [Exercise] Get GRU4Rec Working on your Desktop.mp4
|
7.8 MB
|
11. [Exercise] Get GRU4Rec Working on your Desktop.srt
|
6.0 KB
|
12. Exercise Results GRU4Rec in Action.mp4
|
65.7 MB
|
12. Exercise Results GRU4Rec in Action.srt
|
18.6 KB
|
13. Bleeding Edge Alert! Deep Factorization Machines.mp4
|
60.1 MB
|
13. Bleeding Edge Alert! Deep Factorization Machines.srt
|
12.9 KB
|
14. More Emerging Tech to Watch.mp4
|
29.0 MB
|
14. More Emerging Tech to Watch.srt
|
11.9 KB
|
/.../10. Scaling it Up/
|
1. [Activity] Introduction and Installation of Apache Spark.mp4
|
55.9 MB
|
1. [Activity] Introduction and Installation of Apache Spark.srt
|
9.5 KB
|
2. Apache Spark Architecture.mp4
|
18.2 MB
|
2. Apache Spark Architecture.srt
|
11.6 KB
|
3. [Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.mp4
|
58.3 MB
|
3. [Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.srt
|
12.6 KB
|
4. [Activity] Recommendations from 20 million ratings with Spark.mp4
|
53.1 MB
|
4. [Activity] Recommendations from 20 million ratings with Spark.srt
|
9.4 KB
|
5. Amazon DSSTNE.mp4
|
44.4 MB
|
5. Amazon DSSTNE.srt
|
10.4 KB
|
6. DSSTNE in Action.mp4
|
119.2 MB
|
6. DSSTNE in Action.srt
|
13.2 KB
|
7. Scaling Up DSSTNE.mp4
|
10.9 MB
|
7. Scaling Up DSSTNE.srt
|
4.7 KB
|
8. AWS SageMaker and Factorization Machines.mp4
|
16.3 MB
|
8. AWS SageMaker and Factorization Machines.srt
|
9.5 KB
|
9. SageMaker in Action Factorization Machines on one million ratings, in the cloud.mp4
|
71.7 MB
|
9. SageMaker in Action Factorization Machines on one million ratings, in the cloud.srt
|
14.6 KB
|
/.../11. Real-World Challenges of Recommender Systems/
|
1. The Cold Start Problem (and solutions).mp4
|
29.1 MB
|
1. The Cold Start Problem (and solutions).srt
|
14.9 KB
|
2. [Exercise] Implement Random Exploration.mp4
|
2.3 MB
|
2. [Exercise] Implement Random Exploration.srt
|
2.0 KB
|
3. Exercise Solution Random Exploration.mp4
|
25.3 MB
|
3. Exercise Solution Random Exploration.srt
|
4.7 KB
|
4. Stoplists.mp4
|
20.9 MB
|
4. Stoplists.srt
|
11.6 KB
|
5. [Exercise] Implement a Stoplist.mp4
|
1.4 MB
|
5. [Exercise] Implement a Stoplist.srt
|
1.4 KB
|
6. Exercise Solution Implement a Stoplist.mp4
|
28.0 MB
|
6. Exercise Solution Implement a Stoplist.srt
|
4.8 KB
|
7. Filter Bubbles, Trust, and Outliers.mp4
|
96.9 MB
|
7. Filter Bubbles, Trust, and Outliers.srt
|
13.7 KB
|
8. [Exercise] Identify and Eliminate Outlier Users.mp4
|
1.9 MB
|
8. [Exercise] Identify and Eliminate Outlier Users.srt
|
2.0 KB
|
9. Exercise Solution Outlier Removal.mp4
|
40.4 MB
|
9. Exercise Solution Outlier Removal.srt
|
8.5 KB
|
10. Fraud, The Perils of Clickstream, and International Concerns.mp4
|
61.1 MB
|
10. Fraud, The Perils of Clickstream, and International Concerns.srt
|
10.9 KB
|
11. Temporal Effects, and Value-Aware Recommendations.mp4
|
56.7 MB
|
11. Temporal Effects, and Value-Aware Recommendations.srt
|
8.4 KB
|
/.../12. Case Studies/
|
1. Case Study YouTube, Part 1.mp4
|
28.2 MB
|
1. Case Study YouTube, Part 1.srt
|
8.1 KB
|
2. Case Study YouTube, Part 2.mp4
|
27.5 MB
|
2. Case Study YouTube, Part 2.srt
|
16.0 KB
|
3. Case Study Netflix, Part 1.mp4
|
28.9 MB
|
3. Case Study Netflix, Part 1.srt
|
8.6 KB
|
4. Case Study Netflix, Part 2.mp4
|
27.9 MB
|
4. Case Study Netflix, Part 2.srt
|
8.6 KB
|
/.../13. Hybrid Approaches/
|
1. Hybrid Recommenders and Exercise.mp4
|
19.3 MB
|
1. Hybrid Recommenders and Exercise.srt
|
6.2 KB
|
2. Exercise Solution Hybrid Recommenders.mp4
|
34.8 MB
|
2. Exercise Solution Hybrid Recommenders.srt
|
9.4 KB
|
/.../14. Wrapping Up/
|
1. More to Explore.mp4
|
40.8 MB
|
1. More to Explore.srt
|
5.6 KB
|
2. Bonus Lecture Discounts to continue your journey!.html
|
7.3 KB
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Total files 223
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