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【压缩文件】 Building Recommender Systems with Machine Learning and AI

收录时间:2020-01-29 文档个数:5 文档大小:4.7 GB 最近下载:2024-10-22 人气:1741 磁力链接

Building Recommender Systems with Machine Learning and AI.zip 4.7 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
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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:2024-10-22 人气:2183 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:2024-10-10 人气:1808 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:2024-10-04 人气:2986 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 Recommender FreeCourseSite AI Udemy Machine Systems Learning com

【文档书籍】 [NulledPremium.com] Building Recommender Systems

收录时间:2020-02-28 文档个数:9 文档大小:50.3 MB 最近下载:2024-10-21 人气:1881 磁力链接

Building Recommender Systems with Machine Learning and AI - Frank Kane.epub 50.3 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:2024-10-10 人气:2612 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:2024-10-10 人气:3321 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:2024-08-20 人气:2003 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:2024-10-21 人气:592 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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【其他】 Lynda.Building.Recommender.Systems.with.Machine.Learning.and.AI.UPDATE.20200402-APoLLo

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lynda.building.recommender.systems.with.machine.learning.and.ai.update.20200402-apollo.r00 20.0 MB
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【压缩文件】 Learn Python For Data Science W Search & Recommender Algos

收录时间:2020-04-22 文档个数:4 文档大小:1.5 GB 最近下载:2024-10-22 人气:1079 磁力链接

Learn Python For Data Science W Search & Recommender Algos.zip 1.5 GB
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【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:2024-10-08 人气:1263 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

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【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:2024-09-26 人气:1419 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
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[DesireCourse.Com] Udemy - Building Recommender Systems with Machine Learning and AI.zip 4.7 GB
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[DesireCourse.Com].url 51 Bytes

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08.Introduction to Deep Learning/0804.[Activity] Playing with Tensorflow.mp4 122.6 MB
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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
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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
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Building Recommender Systems with Machine Learning and AI.zip 4.8 GB
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[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
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[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
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~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
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【影视】 [ CourseMega.com ] Udemy - Recommender System With Machine Learning and Statistics

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~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
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~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
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