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【影视】 [DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

收录时间:2020-02-18 文档个数:166 文档大小:4.3 GB 最近下载:2025-01-03 人气:2636 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB

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【影视】 [FreeCourseLab.com] Udemy - Building Recommender Systems with Machine Learning and AI

收录时间:2020-02-18 文档个数:221 文档大小:4.7 GB 最近下载:2025-01-12 人气:2407 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests.mp4 63.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Building Recommender Systems with Machine Learning and AI

收录时间:2020-02-28 文档个数:223 文档大小:4.8 GB 最近下载:2025-01-07 人气:3532 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 109.1 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB

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

收录时间:2020-03-02 文档个数:221 文档大小:4.7 GB 最近下载:2025-01-14 人气:3210 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests.mp4 63.9 MB

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【影视】 [FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]

收录时间:2020-03-08 文档个数:170 文档大小:4.3 GB 最近下载:2025-01-01 人气:3775 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB

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【影视】 [FreeTutorials.Eu] Udemy - building-recommender-systems-with-machine-learning-and-ai

收录时间:2020-04-06 文档个数:223 文档大小:4.8 GB 最近下载:2025-01-02 人气:2207 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 109.1 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB

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【影视】 [UdemyCourseDownloader] Building Recommender Systems with Machine Learning and AI

收录时间:2020-04-11 文档个数:222 文档大小:4.8 GB 最近下载:2025-01-08 人气:668 磁力链接

08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 109.1 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB

猜你喜欢： Building UdemyCourseDownloader Recommender AI Machine Systems Learning

【影视】 Building Recommender Systems with Machine Learning and AI

收录时间:2020-05-03 文档个数:223 文档大小:4.8 GB 最近下载:2025-01-15 人气:1511 磁力链接

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

猜你喜欢： Building Recommender AI Machine Systems Learning

【影视】 Recommender Systems and Deep Learning in Python

收录时间:2020-05-22 文档个数:176 文档大小:4.4 GB 最近下载:2024-09-25 人气:1403 磁力链接

Recommender Systems and Deep Learning in Python/8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
Recommender Systems and Deep Learning in Python/8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
Recommender Systems and Deep Learning in Python/8. Appendix/10. What order should I take your courses in (part 2).mp4 129.0 MB
Recommender Systems and Deep Learning in Python/8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
Recommender Systems and Deep Learning in Python/2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
Recommender Systems and Deep Learning in Python/8. Appendix/9. What order should I take your courses in (part 1).mp4 92.7 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
Recommender Systems and Deep Learning in Python/8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
Recommender Systems and Deep Learning in Python/8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
Recommender Systems and Deep Learning in Python/7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.4 MB

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【影视】 [CourseClub.NET] Packtpub - Building Recommender Systems with Machine Learning and AI

收录时间:2020-07-09 文档个数:110 文档大小:3.1 GB 最近下载:2025-01-07 人气:2491 磁力链接

08.Introduction to Deep Learning/0804.[Activity] Playing with Tensorflow.mp4 122.6 MB
08.Introduction to Deep Learning/0808.[Activity] Handwriting Recognition with Tensorflow, part 1.mp4 97.4 MB
01.Getting Started/0101.Install Anaconda, course materials, and create movie recommendations!.mp4 92.4 MB
03.Evaluating Recommender Systems/0305.Churn, Responsiveness, and AB Tests.mp4 86.7 MB
11.11 Real-World Challenges of Recommender Systems/1111.Temporal Effects, and Value-Aware Recommendations.mp4 85.6 MB
08.Introduction to Deep Learning/0819.[Activity] Sentiment Analysis of Movie Reviews using RNN_s and Keras.mp4 76.9 MB
11.11 Real-World Challenges of Recommender Systems/1110.Fraud, the Perils of Clickstream, and International Concerns.mp4 76.3 MB
06.Neighborhood-Based Collaborative Filtering/0601.Measuring Similarity, and Sparsity.mp4 73.1 MB
01.Getting Started/0102.Course Roadmap.mp4 72.6 MB
07.Matrix Factorization Methods/0701.Principal Component Analysis (PCA).mp4 68.1 MB
14.Wrapping Up/1401.More to Explore.mp4 64.9 MB
06.Neighborhood-Based Collaborative Filtering/0605.Item-based Collaborative Filtering.mp4 64.6 MB
10.Scaling it up/1006.DSSTNE in Action.mp4 64.1 MB
09.Deep Learning for Recommender Systems/0901.Intro to Deep Learning for Recommenders.mp4 58.7 MB
09.Deep Learning for Recommender Systems/0906.[Exercise] Tuning Restricted Boltzmann Machines.mp4 56.3 MB
08.Introduction to Deep Learning/0813.[Exercise] Predict Political Parties of Politicians with Keras.mp4 56.3 MB
09.Deep Learning for Recommender Systems/0903.[Activity] Recommendations with RBM_s, part 1.mp4 53.0 MB
08.Introduction to Deep Learning/0811.[Activity] Handwriting Recognition with Keras.mp4 49.2 MB
03.Evaluating Recommender Systems/0302.Accuracy Metrics (RMSE, MAE).mp4 49.0 MB
09.Deep Learning for Recommender Systems/0913.Bleeding Edge Alert! Deep Factorization Machines.mp4 46.5 MB

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【影视】 Data Mining w Python and NumPy - Build a Video Recommender

收录时间:2021-04-23 文档个数:81 文档大小:2.2 GB 最近下载:2025-01-13 人气:4420 磁力链接

[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/15. 14. Classes And Objects.mp4 234.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/12. 11. Loops.mp4 175.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/4. 03. Operators.mp4 169.3 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/1. 01 Build A Dataset.mp4 148.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/16. 15. Inheritance Examples.mp4 137.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/11. 10. If Statement Examples.mp4 123.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/6. 05. List Examples.mp4 115.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/2. 01. Variables.mp4 111.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/3. 03 Compute Support And Confidence For All Channels.mp4 96.5 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/8. 07. Dictionaries Examples.mp4 91.5 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/13. 12. Functions.mp4 90.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/17. 16. Static Members Examples.mp4 82.4 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/14. 13. Parameters And Return Values Examples.mp4 82.3 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/2. 01 Mammoth Interactive Courses Introduction/2. 01 How To Learn Online Effectively.mp4 77.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/4. 04 Determine Which Videos Are Best To Recommend.mp4 70.9 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/2. 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 68.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/3. 02. Type Conversion Examples.mp4 62.8 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/1. 00. Intro To Course And Python.mp4 60.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/9. 08. Ranges Examples.mp4 55.8 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/7. 06. Tuples Examples.mp4 55.0 MB

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收录时间:2021-07-25 文档个数:109 文档大小:1.3 GB 最近下载:2025-01-07 人气:2751 磁力链接

~Get Your Files Here !/04 Collaborative filtering - item-based filtering/003 Recommendations - implementation.mp4 90.1 MB
~Get Your Files Here !/05 Libraries for recommender systems/004 Surprise library.mp4 89.1 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/008 Loading the MovieLens dataset.mp4 79.5 MB
~Get Your Files Here !/02 Search for similar users/005 Euclidian distance - implementation 2.mp4 77.9 MB
~Get Your Files Here !/05 Libraries for recommender systems/001 Preparing the dataset for LibRecommender.mp4 73.6 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/001 Recommendations - intuition.mp4 68.9 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/003 Recommendations - implementation 2.mp4 58.2 MB
~Get Your Files Here !/05 Libraries for recommender systems/002 LibRecommender - user-based filtering.mp4 57.8 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/007 MovieLens dataset.mp4 55.4 MB
~Get Your Files Here !/04 Collaborative filtering - item-based filtering/001 Item-based filtering - intuition.mp4 54.3 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/010 Similar movies and MovieLens.mp4 52.3 MB
~Get Your Files Here !/04 Collaborative filtering - item-based filtering/004 MovieLens dataset.mp4 49.4 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/006 Similar movies - implementation.mp4 47.7 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/002 Recommendations - implementation 1.mp4 46.1 MB
~Get Your Files Here !/01 Introduction/002 Introduction to recommender systems.mp4 42.1 MB
~Get Your Files Here !/02 Search for similar users/001 Movie dataset.mp4 37.3 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/009 Recommendations with MovieLens.mp4 31.3 MB
~Get Your Files Here !/03 Collaborative filtering - user-based filtering/004 Recommendations - implementation 3.mp4 30.3 MB
~Get Your Files Here !/04 Collaborative filtering - item-based filtering/002 Similarity between movies.mp4 30.0 MB
~Get Your Files Here !/02 Search for similar users/003 Euclidian distance - intuition.mp4 28.4 MB

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【影视】 [ CourseMega.com ] Udemy - Recommender System With Machine Learning and Statistics

收录时间:2021-11-18 文档个数:28 文档大小:507.8 MB 最近下载:2025-01-07 人气:1602 磁力链接

~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/3. How to Build and Train Collaborative Filtering Model With Fast.ai.mp4 94.7 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.mp4 89.3 MB
~Get Your Files Here !/3. The Hypotheses Behind the Main Solutions of Recommender Systems/1. The Hypotheses Behind the Main Solutions of Recommender Systems.mp4 69.7 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/1. A Quick Eda on the Grocery Dataset.mp4 51.6 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/5. How to Evaluate Results With Selected Criteria.mp4 44.8 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/1. What Is the Definition of Popularity and What Is Support.mp4 40.0 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/2. How to Encode an Item-Order Matrix.mp4 32.7 MB
~Get Your Files Here !/1. Why Business Needs Recommender Systems/1. Why Business Needs Recommender Systems.mp4 27.0 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/3. What Are Confidence and Lift.mp4 25.0 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/2. What Is Collaborative Filtering in Depth.mp4 11.5 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/4. What Is Association Rule and How to Apply Apriori Algorithm.mp4 11.0 MB
~Get Your Files Here !/6. End-Of-Course Conclusion/1. End-Of-Course Conclusion.mp4 6.9 MB
~Get Your Files Here !/2. Roadmap of the Course/1. Roadmap of the Course.mp4 3.7 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/3. How to Build and Train Collaborative Filtering Model With Fast.ai.srt 5.9 kB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.srt 5.1 kB
~Get Your Files Here !/3. The Hypotheses Behind the Main Solutions of Recommender Systems/1. The Hypotheses Behind the Main Solutions of Recommender Systems.srt 4.9 kB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/1. A Quick Eda on the Grocery Dataset.srt 4.7 kB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/1. What Is the Definition of Popularity and What Is Support.srt 4.3 kB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/2. What Is Collaborative Filtering in Depth.srt 4.2 kB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/4. What Is Association Rule and How to Apply Apriori Algorithm.srt 2.7 kB

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~Get Your Files Here !/2. Basics Of Python For Data Science/8. Grouping Data.mp4 104.7 MB
~Get Your Files Here !/3. Basic Statistical Concepts/10. k-Nearest Neighbours (kNN)-Theory.mp4 82.1 MB
~Get Your Files Here !/2. Basics Of Python For Data Science/9. More Data Summarisations and Pivoting.mp4 81.2 MB
~Get Your Files Here !/3. Basic Statistical Concepts/9. Introduction to Supervised Learning.mp4 73.1 MB
~Get Your Files Here !/2. Basics Of Python For Data Science/1. Introduction to Pandas.mp4 73.0 MB
~Get Your Files Here !/9. Miscellaneous/1. What Is a Dictionary.mp4 71.0 MB
~Get Your Files Here !/7. Working With Text Data/1. Theory of Text Cleaning.mp4 61.1 MB
~Get Your Files Here !/5. Filtering Based Recommender Engines/2. Using Distances and SVD For Recommendations.mp4 57.1 MB
~Get Your Files Here !/7. Working With Text Data/6. What Are Wordclouds.mp4 55.7 MB
~Get Your Files Here !/8. Text Based Recommender System/1. Content Based Filtering On Text Data With Surprise.mp4 54.3 MB
~Get Your Files Here !/8. Text Based Recommender System/4. Word2Vec Based Recommendation- Based On Items.mp4 51.9 MB
~Get Your Files Here !/2. Basics Of Python For Data Science/2. Read in Multiple CSVs.mp4 51.5 MB
~Get Your Files Here !/1. Welcome To The Course/6. Why Recommender Systems.mp4 51.2 MB
~Get Your Files Here !/7. Working With Text Data/7. Word Clouds For Movie Themes.mp4 49.5 MB
~Get Your Files Here !/2. Basics Of Python For Data Science/12. Exploring the Temporal Dimension.mp4 46.5 MB
~Get Your Files Here !/6. Common Recommender Engines/3. Hybrid Recommenders-LightFM.mp4 46.2 MB
~Get Your Files Here !/8. Text Based Recommender System/2. Word2Vec For Basic Item Recommendation.mp4 44.9 MB
~Get Your Files Here !/2. Basics Of Python For Data Science/11. More Visualisations.mp4 43.3 MB
~Get Your Files Here !/6. Common Recommender Engines/4. Set Up a Problem For Classical Recommender Systems.mp4 42.4 MB
~Get Your Files Here !/5. Filtering Based Recommender Engines/4. Basic Data Processing.mp4 41.3 MB

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~Get Your Files Here !/02 - Basic R Programming/004 Data Cleaning.mp4 141.1 MB
~Get Your Files Here !/03 - Basic Statistical Concepts Underpinning Recommender Systems/007 K-Means Implementation.mp4 124.3 MB
~Get Your Files Here !/03 - Basic Statistical Concepts Underpinning Recommender Systems/002 Implement PCA in R.mp4 118.1 MB
~Get Your Files Here !/02 - Basic R Programming/001 Read CSV and Excel Data.mp4 116.8 MB
~Get Your Files Here !/02 - Basic R Programming/006 Pre-processing Tasks and the Pipe Operator.mp4 96.4 MB
~Get Your Files Here !/04 - What Are Recommender Systems/005 Explore Other Recommenderlab Models.mp4 88.7 MB
~Get Your Files Here !/02 - Basic R Programming/003 Read in Data from Online HTML Tables-Part 2.mp4 87.6 MB
~Get Your Files Here !/02 - Basic R Programming/005 More Data Cleaning.mp4 86.7 MB
~Get Your Files Here !/02 - Basic R Programming/007 DPLYR-1.mp4 85.8 MB
~Get Your Files Here !/02 - Basic R Programming/009 Some Joining.mp4 85.5 MB
~Get Your Files Here !/01 - Welcome to the Course/data_code/Section4/books/BX-Books.csv 77.8 MB
~Get Your Files Here !/03 - Basic Statistical Concepts Underpinning Recommender Systems/008 Supervised Learning-Theory.mp4 73.1 MB
~Get Your Files Here !/01 - Welcome to the Course/003 Install R and RStudio.mp4 67.6 MB
~Get Your Files Here !/02 - Basic R Programming/002 Read in Data from Online HTML Tables-Part 1.mp4 59.3 MB
~Get Your Files Here !/05 - Miscellaneous Section/002 What Are Wordclouds.mp4 55.7 MB
~Get Your Files Here !/04 - What Are Recommender Systems/004 A Simple Cosine Similarity Based Recommender Engine.mp4 54.9 MB
~Get Your Files Here !/04 - What Are Recommender Systems/009 Item Based Recommendations.mp4 53.9 MB
~Get Your Files Here !/01 - Welcome to the Course/005 Why Recommender Systems.mp4 51.2 MB
~Get Your Files Here !/04 - What Are Recommender Systems/008 Identify Top Reader Preferences.mp4 50.6 MB
~Get Your Files Here !/01 - Welcome to the Course/004 Different Data Types.mp4 48.5 MB

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【影视】 Recommender Systems and Deep Learning in Python

收录时间:2023-02-16 文档个数:370 文档大小:4.4 GB 最近下载:2025-01-05 人气:1250 磁力链接

[TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/81 - Anaconda Environment Setup.mp4 334.0 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/82 - How to How to install Numpy Theano Tensorflow etc.mp4 200.4 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 182.8 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 181.7 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.1 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 147.8 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/89 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.3 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 121.8 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/85 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.4 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/83 - How to Code by Yourself part 1.mp4 97.6 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.5 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.0 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.0 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.6 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.3 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.2 MB
[TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/88 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB

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