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001 Udemy 101 Getting the Most From This Course-en.srt
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002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt
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002 [Activity] Install Anaconda course materials and create movie recommendations.mp4
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003 Course Roadmap-en.srt
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003 Course Roadmap.mp4
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004 Types of Recommenders-en.srt
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004 Types of Recommenders.mp4
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005 Understanding You through Implicit and Explicit Ratings-en.srt
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005 Understanding You through Implicit and Explicit Ratings.mp4
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006 Top-N Recommender Architecture-en.srt
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006 Top-N Recommender Architecture.mp4
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007 [Quiz] Review the basics of recommender systems.-en.srt
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007 [Quiz] Review the basics of recommender systems..mp4
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008 [Activity] The Basics of Python-en.srt
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008 [Activity] The Basics of Python.mp4
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009 Data Structures in Python-en.srt
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009 Data Structures in Python.mp4
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010 Functions in Python-en.srt
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010 Functions in Python.mp4
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011 [Exercise] Booleans loops and a hands-on challenge-en.srt
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011 [Exercise] Booleans loops and a hands-on challenge.mp4
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012 TrainTest and Cross Validation-en.srt
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012 TrainTest and Cross Validation.mp4
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013 Accuracy Metrics (RMSE MAE)-en.srt
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013 Accuracy Metrics (RMSE MAE).mp4
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014 Top-N Hit Rate - Many Ways-en.srt
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014 Top-N Hit Rate - Many Ways.mp4
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015 Coverage Diversity and Novelty-en.srt
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015 Coverage Diversity and Novelty.mp4
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016 Churn Responsiveness and AB Tests-en.srt
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016 Churn Responsiveness and AB Tests.mp4
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017 [Quiz] Review ways to measure your recommender.-en.srt
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017 [Quiz] Review ways to measure your recommender..mp4
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018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt
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018 [Activity] Walkthrough of RecommenderMetrics.py.mp4
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019 [Activity] Walkthrough of TestMetrics.py-en.srt
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020 [Activity] Measure the Performance of SVD Recommendations-en.srt
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021 Our Recommender Engine Architecture-en.srt
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022 [Activity] Recommender Engine Walkthrough Part 1-en.srt
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022 [Activity] Recommender Engine Walkthrough Part 1.mp4
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023 [Activity] Recommender Engine Walkthrough Part 2-en.srt
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023 [Activity] Recommender Engine Walkthrough Part 2.mp4
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024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt
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024 [Activity] Review the Results of our Algorithm Evaluation..mp4
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025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt
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025 Content-Based Recommendations and the Cosine Similarity Metric.mp4
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026 K-Nearest-Neighbors and Content Recs-en.srt
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026 K-Nearest-Neighbors and Content Recs.mp4
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027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt
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028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt
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029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt
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030 Measuring Similarity and Sparsity-en.srt
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031 Similarity Metrics-en.srt
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031 Similarity Metrics.mp4
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032 User-based Collaborative Filtering-en.srt
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033 [Activity] User-based Collaborative Filtering Hands-On-en.srt
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034 Item-based Collaborative Filtering-en.srt
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035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt
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036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt
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036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4
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037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt
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038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt
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039 KNN Recommenders-en.srt
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039 KNN Recommenders.mp4
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040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt
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040 [Activity] Running User and Item-Based KNN on MovieLens.mp4
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041 [Exercise] Experiment with different KNN parameters.-en.srt
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041 [Exercise] Experiment with different KNN parameters..mp4
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042 Bleeding Edge Alert Translation-Based Recommendations-en.srt
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042 Bleeding Edge Alert Translation-Based Recommendations.mp4
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043 Principal Component Analysis (PCA)-en.srt
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043 Principal Component Analysis (PCA).mp4
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044 Singular Value Decomposition-en.srt
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044 Singular Value Decomposition.mp4
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045 [Activity] Running SVD and SVD on MovieLens-en.srt
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046 Improving on SVD-en.srt
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046 Improving on SVD.mp4
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047 [Exercise] Tune the hyperparameters on SVD-en.srt
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048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt
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048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4
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049 Deep Learning Introduction-en.srt
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049 Deep Learning Introduction.mp4
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050 Deep Learning Pre-Requisites-en.srt
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050 Deep Learning Pre-Requisites.mp4
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051 History of Artificial Neural Networks-en.srt
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051 History of Artificial Neural Networks.mp4
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052 [Activity] Playing with Tensorflow-en.srt
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053 Training Neural Networks-en.srt
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053 Training Neural Networks.mp4
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054 Tuning Neural Networks-en.srt
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054 Tuning Neural Networks.mp4
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055 Introduction to Tensorflow-en.srt
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055 Introduction to Tensorflow.mp4
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056 [Activity] Handwriting Recognition with Tensorflow part 1-en.srt
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058 Introduction to Keras-en.srt
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058 Introduction to Keras.mp4
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059 [Activity] Handwriting Recognition with Keras-en.srt
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060 Classifier Patterns with Keras-en.srt
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061 [Exercise] Predict Political Parties of Politicians with Keras-en.srt
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062 Intro to Convolutional Neural Networks (CNNs)-en.srt
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063 CNN Architectures-en.srt
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063 CNN Architectures.mp4
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064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs)-en.srt
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064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4
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065 Intro to Recurrent Neural Networks (RNNs)-en.srt
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065 Intro to Recurrent Neural Networks (RNNs).mp4
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066 Training Recurrent Neural Networks-en.srt
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066 Training Recurrent Neural Networks.mp4
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067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras-en.srt
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067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4
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068 Intro to Deep Learning for Recommenders-en.srt
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068 Intro to Deep Learning for Recommenders.mp4
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069 Restricted Boltzmann Machines (RBMs)-en.srt
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069 Restricted Boltzmann Machines (RBMs).mp4
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070 [Activity] Recommendations with RBMs part 1-en.srt
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071 [Activity] Recommendations with RBMs part 2-en.srt
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072 [Activity] Evaluating the RBM Recommender-en.srt
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072 [Activity] Evaluating the RBM Recommender.mp4
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073 [Exercise] Tuning Restricted Boltzmann Machines-en.srt
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073 [Exercise] Tuning Restricted Boltzmann Machines.mp4
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074 Exercise Results Tuning a RBM Recommender-en.srt
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074 Exercise Results Tuning a RBM Recommender.mp4
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075 Auto-Encoders for Recommendations Deep Learning for Recs-en.srt
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075 Auto-Encoders for Recommendations Deep Learning for Recs.mp4
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076 [Activity] Recommendations with Deep Neural Networks-en.srt
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077 Clickstream Recommendations with RNNs-en.srt
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078 [Exercise] Get GRU4Rec Working on your Desktop-en.srt
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079 Exercise Results GRU4Rec in Action-en.srt
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079 Exercise Results GRU4Rec in Action.mp4
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080 Bleeding Edge Alert Deep Factorization Machines-en.srt
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080 Bleeding Edge Alert Deep Factorization Machines.mp4
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081 More Emerging Tech to Watch-en.srt
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082 [Activity] Introduction and Installation of Apache Spark-en.srt
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083 Apache Spark Architecture-en.srt
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083 Apache Spark Architecture.mp4
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084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS-en.srt
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085 [Activity] Recommendations from 20 million ratings with Spark-en.srt
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086 Amazon DSSTNE-en.srt
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086 Amazon DSSTNE.mp4
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087 DSSTNE in Action-en.srt
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087 DSSTNE in Action.mp4
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088 Scaling Up DSSTNE-en.srt
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088 Scaling Up DSSTNE.mp4
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089 AWS SageMaker and Factorization Machines-en.srt
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089 AWS SageMaker and Factorization Machines.mp4
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090 SageMaker in Action Factorization Machines on one million ratings in the cloud-en.srt
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090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4
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091 The Cold Start Problem (and solutions)-en.srt
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091 The Cold Start Problem (and solutions).mp4
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092 [Exercise] Implement Random Exploration-en.srt
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093 Exercise Solution Random Exploration-en.srt
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093 Exercise Solution Random Exploration.mp4
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094 Stoplists-en.srt
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094 Stoplists.mp4
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095 [Exercise] Implement a Stoplist-en.srt
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096 Exercise Solution Implement a Stoplist-en.srt
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096 Exercise Solution Implement a Stoplist.mp4
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097 Filter Bubbles Trust and Outliers-en.srt
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097 Filter Bubbles Trust and Outliers.mp4
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098 [Exercise] Identify and Eliminate Outlier Users-en.srt
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099 Exercise Solution Outlier Removal-en.srt
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099 Exercise Solution Outlier Removal.mp4
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100 Fraud The Perils of Clickstream and International Concerns-en.srt
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100 Fraud The Perils of Clickstream and International Concerns.mp4
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101 Temporal Effects and Value-Aware Recommendations-en.srt
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54 MB
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102 Case Study YouTube Part 1-en.srt
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102 Case Study YouTube Part 1.mp4
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103 Case Study YouTube Part 2.mp4
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27.6 MB
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26.6 MB
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106 Hybrid Recommenders and Exercise-en.srt
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5.5 KB
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106 Hybrid Recommenders and Exercise.mp4
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18.4 MB
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107 Exercise Solution Hybrid Recommenders.mp4
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108 More to Explore-en.srt
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5 KB
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21.1 MB
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109 Building-Recommender-Systems-book-on-Amazon.txt
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![Udemy - Building Recommender Systems with Machine Learning and AI [TP]](/static/img/no-torrent-image.png "Udemy - Building Recommender Systems with Machine Learning and AI [TP]")
