| 001 Udemy 101 Getting the Most From This Course-en.srt | 3.9 KB | ||
| 001 Udemy 101 Getting the Most From This Course.mp4 | 19.7 MB | ||
| 002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt | 15.2 KB | ||
| 002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 | 36.8 MB | ||
| 003 Course Roadmap-en.srt | 8.3 KB | ||
| 003 Course Roadmap.mp4 | 17.1 MB | ||
| 004 Types of Recommenders-en.srt | 6.7 KB | ||
| 004 Types of Recommenders.mp4 | 26.8 MB | ||
| 005 Understanding You through Implicit and Explicit Ratings-en.srt | 8.7 KB | ||
| 005 Understanding You through Implicit and Explicit Ratings.mp4 | 20.7 MB | ||
| 006 Top-N Recommender Architecture-en.srt | 11.6 KB | ||
| 006 Top-N Recommender Architecture.mp4 | 37.1 MB | ||
| 007 [Quiz] Review the basics of recommender systems.-en.srt | 8.9 KB | ||
| 007 [Quiz] Review the basics of recommender systems..mp4 | 21.3 MB | ||
| 008 [Activity] The Basics of Python-en.srt | 8.7 KB | ||
| 008 [Activity] The Basics of Python.mp4 | 43 MB | ||
| 009 Data Structures in Python-en.srt | 9.5 KB | ||
| 009 Data Structures in Python.mp4 | 24.4 MB | ||
| 010 Functions in Python-en.srt | 5.2 KB | ||
| 010 Functions in Python.mp4 | 12.3 MB | ||
| 011 [Exercise] Booleans loops and a hands-on challenge-en.srt | 6.3 KB | ||
| 011 [Exercise] Booleans loops and a hands-on challenge.mp4 | 13.9 MB | ||
| 012 TrainTest and Cross Validation-en.srt | 8.3 KB | ||
| 012 TrainTest and Cross Validation.mp4 | 29 MB | ||
| 013 Accuracy Metrics (RMSE MAE)-en.srt | 8.5 KB | ||
| 013 Accuracy Metrics (RMSE MAE).mp4 | 40.3 MB | ||
| 014 Top-N Hit Rate - Many Ways-en.srt | 9.2 KB | ||
| 014 Top-N Hit Rate - Many Ways.mp4 | 24.5 MB | ||
| 015 Coverage Diversity and Novelty-en.srt | 10.5 KB | ||
| 015 Coverage Diversity and Novelty.mp4 | 13.7 MB | ||
| 016 Churn Responsiveness and AB Tests-en.srt | 10.9 KB | ||
| 016 Churn Responsiveness and AB Tests.mp4 | 60.9 MB | ||
| 017 [Quiz] Review ways to measure your recommender.-en.srt | 5.4 KB | ||
| 017 [Quiz] Review ways to measure your recommender..mp4 | 12.8 MB | ||
| 018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt | 12.8 KB | ||
| 018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 | 64.3 MB | ||
| 019 [Activity] Walkthrough of TestMetrics.py-en.srt | 10.7 KB | ||
| 019 [Activity] Walkthrough of TestMetrics.py.mp4 | 54.4 MB | ||
| 020 [Activity] Measure the Performance of SVD Recommendations-en.srt | 5 KB | ||
| 020 [Activity] Measure the Performance of SVD Recommendations.mp4 | 21.6 MB | ||
| 021 Our Recommender Engine Architecture-en.srt | 14.8 KB | ||
| 021 Our Recommender Engine Architecture.mp4 | 32.7 MB | ||
| 022 [Activity] Recommender Engine Walkthrough Part 1-en.srt | 7.4 KB | ||
| 022 [Activity] Recommender Engine Walkthrough Part 1.mp4 | 37.9 MB | ||
| 023 [Activity] Recommender Engine Walkthrough Part 2-en.srt | 7.9 KB | ||
| 023 [Activity] Recommender Engine Walkthrough Part 2.mp4 | 39.6 MB | ||
| 024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt | 6.4 KB | ||
| 024 [Activity] Review the Results of our Algorithm Evaluation..mp4 | 34.6 MB | ||
| 025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt | 17.9 KB | ||
| 025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 | 61.6 MB | ||
| 026 K-Nearest-Neighbors and Content Recs-en.srt | 8.1 KB | ||
| 026 K-Nearest-Neighbors and Content Recs.mp4 | 19.6 MB | ||
| 027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt | 10.3 KB | ||
| 027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4 | 52.4 MB | ||
| 028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt | 8.6 KB | ||
| 028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4 | 46.5 MB | ||
| 029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt | 8.5 KB | ||
| 029 [Exercise] Dive Deeper into Content-Based Recommendations.mp4 | 24.1 MB | ||
| 030 Measuring Similarity and Sparsity-en.srt | 10.8 KB | ||
| 030 Measuring Similarity and Sparsity.mp4 | 59.1 MB | ||
| 031 Similarity Metrics-en.srt | 18.8 KB | ||
| 031 Similarity Metrics.mp4 | 30.7 MB | ||
| 032 User-based Collaborative Filtering-en.srt | 14.2 KB | ||
| 032 User-based Collaborative Filtering.mp4 | 34.2 MB | ||
| 033 [Activity] User-based Collaborative Filtering Hands-On-en.srt | 9.6 KB | ||
| 033 [Activity] User-based Collaborative Filtering Hands-On.mp4 | 48.7 MB | ||
| 034 Item-based Collaborative Filtering-en.srt | 8.8 KB | ||
| 034 Item-based Collaborative Filtering.mp4 | 52.2 MB | ||
| 035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt | 4.9 KB | ||
| 035 [Activity] Item-based Collaborative Filtering Hands-On.mp4 | 26.8 MB | ||
| 036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt | 6.9 KB | ||
| 036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4 | 19.7 MB | ||
| 037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt | 2.5 KB | ||
| 037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4 | 15.4 MB | ||
| 038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt | 4.4 KB | ||
| 038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4 | 9.5 MB | ||
| 039 KNN Recommenders-en.srt | 8.2 KB | ||
| 039 KNN Recommenders.mp4 | 24.8 MB | ||
| 040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt | 4.7 KB | ||
| 040 [Activity] Running User and Item-Based KNN on MovieLens.mp4 | 23.8 MB | ||
| 041 [Exercise] Experiment with different KNN parameters.-en.srt | 8.8 KB | ||
| 041 [Exercise] Experiment with different KNN parameters..mp4 | 41.3 MB | ||
| 042 Bleeding Edge Alert Translation-Based Recommendations-en.srt | 4.9 KB | ||
| 042 Bleeding Edge Alert Translation-Based Recommendations.mp4 | 21.5 MB | ||
| 043 Principal Component Analysis (PCA)-en.srt | 14.1 KB | ||
| 043 Principal Component Analysis (PCA).mp4 | 61.2 MB | ||
| 044 Singular Value Decomposition-en.srt | 13.5 KB | ||
| 044 Singular Value Decomposition.mp4 | 25.1 MB | ||
| 045 [Activity] Running SVD and SVD on MovieLens-en.srt | 6.4 KB | ||
| 045 [Activity] Running SVD and SVD on MovieLens.mp4 | 37.5 MB | ||
| 046 Improving on SVD-en.srt | 9.1 KB | ||
| 046 Improving on SVD.mp4 | 23.1 MB | ||
| 047 [Exercise] Tune the hyperparameters on SVD-en.srt | 4 KB | ||
| 047 [Exercise] Tune the hyperparameters on SVD.mp4 | 12.5 MB | ||
| 048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt | 7.6 KB | ||
| 048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4 | 26.5 MB | ||
| 049 Deep Learning Introduction-en.srt | 3.4 KB | ||
| 049 Deep Learning Introduction.mp4 | 17.6 MB | ||
| 050 Deep Learning Pre-Requisites-en.srt | 17.9 KB | ||
| 050 Deep Learning Pre-Requisites.mp4 | 37 MB | ||
| 051 History of Artificial Neural Networks-en.srt | 22.5 KB | ||
| 051 History of Artificial Neural Networks.mp4 | 84.2 MB | ||
| 052 [Activity] Playing with Tensorflow-en.srt | 23.3 KB | ||
| 052 [Activity] Playing with Tensorflow.mp4 | 145.4 MB | ||
| 053 Training Neural Networks-en.srt | 12.5 KB | ||
| 053 Training Neural Networks.mp4 | 38.3 MB | ||
| 054 Tuning Neural Networks-en.srt | 8.3 KB | ||
| 054 Tuning Neural Networks.mp4 | 31.3 MB | ||
| 055 Introduction to Tensorflow-en.srt | 25.9 KB | ||
| 055 Introduction to Tensorflow.mp4 | 92.5 MB | ||
| 056 [Activity] Handwriting Recognition with Tensorflow part 1-en.srt | 33.3 KB | ||
| 056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 | 181.8 MB | ||
| 057 [Activity] Handwriting Recognition with Tensorflow part 2-en.srt | 13.4 KB | ||
| 057 [Activity] Handwriting Recognition with Tensorflow part 2.mp4 | 57.6 MB | ||
| 058 Introduction to Keras-en.srt | 6.2 KB | ||
| 058 Introduction to Keras.mp4 | 16.5 MB | ||
| 059 [Activity] Handwriting Recognition with Keras-en.srt | 19.6 KB | ||
| 059 [Activity] Handwriting Recognition with Keras.mp4 | 88.7 MB | ||
| 060 Classifier Patterns with Keras-en.srt | 8 KB | ||
| 060 Classifier Patterns with Keras.mp4 | 24.8 MB | ||
| 061 [Exercise] Predict Political Parties of Politicians with Keras-en.srt | 17.9 KB | ||
| 061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 | 100.2 MB | ||
| 062 Intro to Convolutional Neural Networks (CNNs)-en.srt | 18 KB | ||
| 062 Intro to Convolutional Neural Networks (CNNs).mp4 | 78.2 MB | ||
| 063 CNN Architectures-en.srt | 6.3 KB | ||
| 063 CNN Architectures.mp4 | 22.5 MB | ||
| 064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs)-en.srt | 16.8 KB | ||
| 064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 | 82.3 MB | ||
| 065 Intro to Recurrent Neural Networks (RNNs)-en.srt | 15.5 KB | ||
| 065 Intro to Recurrent Neural Networks (RNNs).mp4 | 49.6 MB | ||
| 066 Training Recurrent Neural Networks-en.srt | 6.6 KB | ||
| 066 Training Recurrent Neural Networks.mp4 | 20.7 MB | ||
| 067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras-en.srt | 22.7 KB | ||
| 067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 | 119.8 MB | ||
| 068 Intro to Deep Learning for Recommenders-en.srt | 4.8 KB | ||
| 068 Intro to Deep Learning for Recommenders.mp4 | 42.6 MB | ||
| 069 Restricted Boltzmann Machines (RBMs)-en.srt | 16.2 KB | ||
| 069 Restricted Boltzmann Machines (RBMs).mp4 | 31.7 MB | ||
| 070 [Activity] Recommendations with RBMs part 1-en.srt | 25.1 KB | ||
| 070 [Activity] Recommendations with RBMs part 1.mp4 | 144.4 MB | ||
| 071 [Activity] Recommendations with RBMs part 2-en.srt | 14.1 KB | ||
| 071 [Activity] Recommendations with RBMs part 2.mp4 | 76.7 MB | ||
| 072 [Activity] Evaluating the RBM Recommender-en.srt | 6.7 KB | ||
| 072 [Activity] Evaluating the RBM Recommender.mp4 | 37.7 MB | ||
| 073 [Exercise] Tuning Restricted Boltzmann Machines-en.srt | 3.8 KB | ||
| 073 [Exercise] Tuning Restricted Boltzmann Machines.mp4 | 33.6 MB | ||
| 074 Exercise Results Tuning a RBM Recommender-en.srt | 2.4 KB | ||
| 074 Exercise Results Tuning a RBM Recommender.mp4 | 11.8 MB | ||
| 075 Auto-Encoders for Recommendations Deep Learning for Recs-en.srt | 9.4 KB | ||
| 075 Auto-Encoders for Recommendations Deep Learning for Recs.mp4 | 26.9 MB | ||
| 076 [Activity] Recommendations with Deep Neural Networks-en.srt | 13.3 KB | ||
| 076 [Activity] Recommendations with Deep Neural Networks.mp4 | 75.4 MB | ||
| 077 Clickstream Recommendations with RNNs-en.srt | 15.2 KB | ||
| 077 Clickstream Recommendations with RNNs.mp4 | 48.7 MB | ||
| 078 [Exercise] Get GRU4Rec Working on your Desktop-en.srt | 5.3 KB | ||
| 078 [Exercise] Get GRU4Rec Working on your Desktop.mp4 | 7.5 MB | ||
| 079 Exercise Results GRU4Rec in Action-en.srt | 16.3 KB | ||
| 079 Exercise Results GRU4Rec in Action.mp4 | 62.7 MB | ||
| 080 Bleeding Edge Alert Deep Factorization Machines-en.srt | 11.4 KB | ||
| 080 Bleeding Edge Alert Deep Factorization Machines.mp4 | 57.4 MB | ||
| 081 More Emerging Tech to Watch-en.srt | 10.6 KB | ||
| 081 More Emerging Tech to Watch.mp4 | 27.6 MB | ||
| 082 [Activity] Introduction and Installation of Apache Spark-en.srt | 8.2 KB | ||
| 082 [Activity] Introduction and Installation of Apache Spark.mp4 | 53.3 MB | ||
| 083 Apache Spark Architecture-en.srt | 10.3 KB | ||
| 083 Apache Spark Architecture.mp4 | 17.4 MB | ||
| 084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS-en.srt | 11.2 KB | ||
| 084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS.mp4 | 55.6 MB | ||
| 085 [Activity] Recommendations from 20 million ratings with Spark-en.srt | 8.4 KB | ||
| 085 [Activity] Recommendations from 20 million ratings with Spark.mp4 | 50.7 MB | ||
| 086 Amazon DSSTNE-en.srt | 9.2 KB | ||
| 086 Amazon DSSTNE.mp4 | 42.3 MB | ||
| 087 DSSTNE in Action-en.srt | 11.6 KB | ||
| 087 DSSTNE in Action.mp4 | 116.7 MB | ||
| 088 Scaling Up DSSTNE-en.srt | 4.2 KB | ||
| 088 Scaling Up DSSTNE.mp4 | 10.4 MB | ||
| 089 AWS SageMaker and Factorization Machines-en.srt | 8.4 KB | ||
| 089 AWS SageMaker and Factorization Machines.mp4 | 15.6 MB | ||
| 090 SageMaker in Action Factorization Machines on one million ratings in the cloud-en.srt | 12.9 KB | ||
| 090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 | 68.3 MB | ||
| 091 The Cold Start Problem (and solutions)-en.srt | 13.2 KB | ||
| 091 The Cold Start Problem (and solutions).mp4 | 27.8 MB | ||
| 092 [Exercise] Implement Random Exploration-en.srt | 1.8 KB | ||
| 092 [Exercise] Implement Random Exploration.mp4 | 2.2 MB | ||
| 093 Exercise Solution Random Exploration-en.srt | 4.2 KB | ||
| 093 Exercise Solution Random Exploration.mp4 | 24.2 MB | ||
| 094 Stoplists-en.srt | 10.3 KB | ||
| 094 Stoplists.mp4 | 19.9 MB | ||
| 095 [Exercise] Implement a Stoplist-en.srt | 1.2 KB | ||
| 095 [Exercise] Implement a Stoplist.mp4 | 1.4 MB | ||
| 096 Exercise Solution Implement a Stoplist-en.srt | 4.3 KB | ||
| 096 Exercise Solution Implement a Stoplist.mp4 | 26.7 MB | ||
| 097 Filter Bubbles Trust and Outliers-en.srt | 12.2 KB | ||
| 097 Filter Bubbles Trust and Outliers.mp4 | 92.4 MB | ||
| 098 [Exercise] Identify and Eliminate Outlier Users-en.srt | 1.6 KB | ||
| 098 [Exercise] Identify and Eliminate Outlier Users.mp4 | 1.8 MB | ||
| 099 Exercise Solution Outlier Removal-en.srt | 7.6 KB | ||
| 099 Exercise Solution Outlier Removal.mp4 | 38.5 MB | ||
| 100 Fraud The Perils of Clickstream and International Concerns-en.srt | 9.7 KB | ||
| 100 Fraud The Perils of Clickstream and International Concerns.mp4 | 58.2 MB | ||
| 101 Temporal Effects and Value-Aware Recommendations-en.srt | 7.5 KB | ||
| 101 Temporal Effects and Value-Aware Recommendations.mp4 | 54 MB | ||
| 102 Case Study YouTube Part 1-en.srt | 7.2 KB | ||
| 102 Case Study YouTube Part 1.mp4 | 26.9 MB | ||
| 103 Case Study YouTube Part 2-en.srt | 14.2 KB | ||
| 103 Case Study YouTube Part 2.mp4 | 26.3 MB | ||
| 104 Case Study Netflix Part 1-en.srt | 7.6 KB | ||
| 104 Case Study Netflix Part 1.mp4 | 27.6 MB | ||
| 105 Case Study Netflix Part 2-en.srt | 7.6 KB | ||
| 105 Case Study Netflix Part 2.mp4 | 26.6 MB | ||
| 106 Hybrid Recommenders and Exercise-en.srt | 5.5 KB | ||
| 106 Hybrid Recommenders and Exercise.mp4 | 18.4 MB | ||
| 107 Exercise Solution Hybrid Recommenders-en.srt | 8.3 KB | ||
| 107 Exercise Solution Hybrid Recommenders.mp4 | 33.2 MB | ||
| 108 More to Explore-en.srt | 5 KB | ||
| 108 More to Explore.mp4 | 38.9 MB | ||
| 109 Bonus Lecture Companion Book and More Courses from Sundog Education-en.srt | 1.7 KB | ||
| 109 Bonus Lecture Companion Book and More Courses from Sundog Education.mp4 | 21.1 MB | ||
| 109 Building-Recommender-Systems-book-on-Amazon.txt | 0 B | ||
| 109 Sundog-Education-website.txt | 0 B | ||
| [Tutorialsplanet.NET].url | 102.4 B | ||
| ▲ 221 total files | |||
Udemy - Building Recommender Systems with Machine Learning and AI [TP]
Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.
For more Udemy Courses: https://tutorialsplanet.net
| torrent name | size | uploader | age | seed | leech |
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| 1.3 GB | freecoursewb | 2 weeks | 18 | 2 | |
| 665.1 MB | freecoursewb | 4 weeks | 1 | 1 | |
| 3.9 GB | freecoursewb | 1 month | 5 | 2 | |
| 3.7 GB | freecoursewb | 2 months | 0 | 0 | |
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Udemy - Cursor Ai Masterclass - Full App Building Course With Cursor Posted by
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