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Title [Tutorialsplanet.NET] Udemy - Building Recommender Systems with Machine Learning and AI
Category
Size 4.40GB

Files List
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[Tutorialsplanet.NET].url 128B
001 Udemy 101 Getting the Most From This Course.mp4 19.71MB
001 Udemy 101 Getting the Most From This Course-en.srt 3.91KB
002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 36.83MB
002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt 15.24KB
003 Course Roadmap.mp4 17.14MB
003 Course Roadmap-en.srt 8.28KB
004 Types of Recommenders.mp4 26.82MB
004 Types of Recommenders-en.srt 6.68KB
005 Understanding You through Implicit and Explicit Ratings.mp4 20.72MB
005 Understanding You through Implicit and Explicit Ratings-en.srt 8.75KB
006 Top-N Recommender Architecture.mp4 37.09MB
006 Top-N Recommender Architecture-en.srt 11.60KB
007 [Quiz] Review the basics of recommender systems..mp4 21.30MB
007 [Quiz] Review the basics of recommender systems.-en.srt 8.91KB
008 [Activity] The Basics of Python.mp4 43.03MB
008 [Activity] The Basics of Python-en.srt 8.70KB
009 Data Structures in Python.mp4 24.41MB
009 Data Structures in Python-en.srt 9.46KB
010 Functions in Python.mp4 12.27MB
010 Functions in Python-en.srt 5.20KB
011 [Exercise] Booleans loops and a hands-on challenge.mp4 13.86MB
011 [Exercise] Booleans loops and a hands-on challenge-en.srt 6.29KB
012 TrainTest and Cross Validation.mp4 29.05MB
012 TrainTest and Cross Validation-en.srt 8.34KB
013 Accuracy Metrics (RMSE MAE).mp4 40.28MB
013 Accuracy Metrics (RMSE MAE)-en.srt 8.45KB
014 Top-N Hit Rate - Many Ways.mp4 24.53MB
014 Top-N Hit Rate - Many Ways-en.srt 9.19KB
015 Coverage Diversity and Novelty.mp4 13.73MB
015 Coverage Diversity and Novelty-en.srt 10.51KB
016 Churn Responsiveness and AB Tests.mp4 60.94MB
016 Churn Responsiveness and AB Tests-en.srt 10.94KB
017 [Quiz] Review ways to measure your recommender..mp4 12.83MB
017 [Quiz] Review ways to measure your recommender.-en.srt 5.44KB
018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 64.30MB
018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt 12.80KB
019 [Activity] Walkthrough of TestMetrics.py.mp4 54.36MB
019 [Activity] Walkthrough of TestMetrics.py-en.srt 10.66KB
020 [Activity] Measure the Performance of SVD Recommendations.mp4 21.56MB
020 [Activity] Measure the Performance of SVD Recommendations-en.srt 5.00KB
021 Our Recommender Engine Architecture.mp4 32.73MB
021 Our Recommender Engine Architecture-en.srt 14.81KB
022 [Activity] Recommender Engine Walkthrough Part 1.mp4 37.88MB
022 [Activity] Recommender Engine Walkthrough Part 1-en.srt 7.40KB
023 [Activity] Recommender Engine Walkthrough Part 2.mp4 39.59MB
023 [Activity] Recommender Engine Walkthrough Part 2-en.srt 7.88KB
024 [Activity] Review the Results of our Algorithm Evaluation..mp4 34.57MB
024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt 6.37KB
025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 61.58MB
025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt 17.85KB
026 K-Nearest-Neighbors and Content Recs.mp4 19.61MB
026 K-Nearest-Neighbors and Content Recs-en.srt 8.14KB
027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4 52.36MB
027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt 10.33KB
028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4 46.52MB
028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt 8.61KB
029 [Exercise] Dive Deeper into Content-Based Recommendations.mp4 24.11MB
029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt 8.49KB
030 Measuring Similarity and Sparsity.mp4 59.10MB
030 Measuring Similarity and Sparsity-en.srt 10.77KB
031 Similarity Metrics.mp4 30.68MB
031 Similarity Metrics-en.srt 18.83KB
032 User-based Collaborative Filtering.mp4 34.21MB
032 User-based Collaborative Filtering-en.srt 14.23KB
033 [Activity] User-based Collaborative Filtering Hands-On.mp4 48.65MB
033 [Activity] User-based Collaborative Filtering Hands-On-en.srt 9.61KB
034 Item-based Collaborative Filtering.mp4 52.23MB
034 Item-based Collaborative Filtering-en.srt 8.83KB
035 [Activity] Item-based Collaborative Filtering Hands-On.mp4 26.81MB
035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt 4.87KB
036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4 19.70MB
036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt 6.95KB
037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4 15.43MB
037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt 2.54KB
038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4 9.50MB
038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt 4.45KB
039 KNN Recommenders.mp4 24.85MB
039 KNN Recommenders-en.srt 8.22KB
040 [Activity] Running User and Item-Based KNN on MovieLens.mp4 23.76MB
040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt 4.66KB
041 [Exercise] Experiment with different KNN parameters..mp4 41.26MB
041 [Exercise] Experiment with different KNN parameters.-en.srt 8.79KB
042 Bleeding Edge Alert Translation-Based Recommendations.mp4 21.49MB
042 Bleeding Edge Alert Translation-Based Recommendations-en.srt 4.89KB
043 Principal Component Analysis (PCA).mp4 61.20MB
043 Principal Component Analysis (PCA)-en.srt 14.07KB
044 Singular Value Decomposition.mp4 25.07MB
044 Singular Value Decomposition-en.srt 13.54KB
045 [Activity] Running SVD and SVD on MovieLens.mp4 37.49MB
045 [Activity] Running SVD and SVD on MovieLens-en.srt 6.39KB
046 Improving on SVD.mp4 23.07MB
046 Improving on SVD-en.srt 9.08KB
047 [Exercise] Tune the hyperparameters on SVD.mp4 12.46MB
047 [Exercise] Tune the hyperparameters on SVD-en.srt 4.02KB
048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4 26.46MB
048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt 7.55KB
049 Deep Learning Introduction.mp4 17.62MB
049 Deep Learning Introduction-en.srt 3.35KB
050 Deep Learning Pre-Requisites.mp4 37.05MB
050 Deep Learning Pre-Requisites-en.srt 17.85KB
051 History of Artificial Neural Networks.mp4 84.21MB
051 History of Artificial Neural Networks-en.srt 22.48KB
052 [Activity] Playing with Tensorflow.mp4 145.40MB
052 [Activity] Playing with Tensorflow-en.srt 23.26KB
053 Training Neural Networks.mp4 38.35MB
053 Training Neural Networks-en.srt 12.45KB
054 Tuning Neural Networks.mp4 31.27MB
054 Tuning Neural Networks-en.srt 8.26KB
055 Introduction to Tensorflow.mp4 92.47MB
055 Introduction to Tensorflow-en.srt 25.95KB
056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 181.85MB
056 [Activity] Handwriting Recognition with Tensorflow part 1-en.srt 33.29KB
057 [Activity] Handwriting Recognition with Tensorflow part 2.mp4 57.58MB
057 [Activity] Handwriting Recognition with Tensorflow part 2-en.srt 13.37KB
058 Introduction to Keras.mp4 16.45MB
058 Introduction to Keras-en.srt 6.18KB
059 [Activity] Handwriting Recognition with Keras.mp4 88.71MB
059 [Activity] Handwriting Recognition with Keras-en.srt 19.58KB
060 Classifier Patterns with Keras.mp4 24.84MB
060 Classifier Patterns with Keras-en.srt 8.03KB
061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 100.21MB
061 [Exercise] Predict Political Parties of Politicians with Keras-en.srt 17.87KB
062 Intro to Convolutional Neural Networks (CNNs).mp4 78.19MB
062 Intro to Convolutional Neural Networks (CNNs)-en.srt 17.95KB
063 CNN Architectures.mp4 22.54MB
063 CNN Architectures-en.srt 6.27KB
064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 82.28MB
064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs)-en.srt 16.75KB
065 Intro to Recurrent Neural Networks (RNNs).mp4 49.64MB
065 Intro to Recurrent Neural Networks (RNNs)-en.srt 15.54KB
066 Training Recurrent Neural Networks.mp4 20.72MB
066 Training Recurrent Neural Networks-en.srt 6.63KB
067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 119.78MB
067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras-en.srt 22.69KB
068 Intro to Deep Learning for Recommenders.mp4 42.62MB
068 Intro to Deep Learning for Recommenders-en.srt 4.80KB
069 Restricted Boltzmann Machines (RBMs).mp4 31.67MB
069 Restricted Boltzmann Machines (RBMs)-en.srt 16.19KB
070 [Activity] Recommendations with RBMs part 1.mp4 144.44MB
070 [Activity] Recommendations with RBMs part 1-en.srt 25.06KB
071 [Activity] Recommendations with RBMs part 2.mp4 76.73MB
071 [Activity] Recommendations with RBMs part 2-en.srt 14.09KB
072 [Activity] Evaluating the RBM Recommender.mp4 37.67MB
072 [Activity] Evaluating the RBM Recommender-en.srt 6.67KB
073 [Exercise] Tuning Restricted Boltzmann Machines.mp4 33.61MB
073 [Exercise] Tuning Restricted Boltzmann Machines-en.srt 3.82KB
074 Exercise Results Tuning a RBM Recommender.mp4 11.85MB
074 Exercise Results Tuning a RBM Recommender-en.srt 2.43KB
075 Auto-Encoders for Recommendations Deep Learning for Recs.mp4 26.91MB
075 Auto-Encoders for Recommendations Deep Learning for Recs-en.srt 9.40KB
076 [Activity] Recommendations with Deep Neural Networks.mp4 75.41MB
076 [Activity] Recommendations with Deep Neural Networks-en.srt 13.33KB
077 Clickstream Recommendations with RNNs.mp4 48.72MB
077 Clickstream Recommendations with RNNs-en.srt 15.17KB
078 [Exercise] Get GRU4Rec Working on your Desktop.mp4 7.46MB
078 [Exercise] Get GRU4Rec Working on your Desktop-en.srt 5.32KB
079 Exercise Results GRU4Rec in Action.mp4 62.65MB
079 Exercise Results GRU4Rec in Action-en.srt 16.30KB
080 Bleeding Edge Alert Deep Factorization Machines.mp4 57.36MB
080 Bleeding Edge Alert Deep Factorization Machines-en.srt 11.44KB
081 More Emerging Tech to Watch.mp4 27.64MB
081 More Emerging Tech to Watch-en.srt 10.58KB
082 [Activity] Introduction and Installation of Apache Spark.mp4 53.32MB
082 [Activity] Introduction and Installation of Apache Spark-en.srt 8.20KB
083 Apache Spark Architecture.mp4 17.36MB
083 Apache Spark Architecture-en.srt 10.27KB
084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS.mp4 55.61MB
084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS-en.srt 11.17KB
085 [Activity] Recommendations from 20 million ratings with Spark.mp4 50.67MB
085 [Activity] Recommendations from 20 million ratings with Spark-en.srt 8.37KB
086 Amazon DSSTNE.mp4 42.31MB
086 Amazon DSSTNE-en.srt 9.20KB
087 DSSTNE in Action.mp4 116.66MB
087 DSSTNE in Action-en.srt 11.64KB
088 Scaling Up DSSTNE.mp4 10.44MB
088 Scaling Up DSSTNE-en.srt 4.18KB
089 AWS SageMaker and Factorization Machines.mp4 15.58MB
089 AWS SageMaker and Factorization Machines-en.srt 8.43KB
090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 68.34MB
090 SageMaker in Action Factorization Machines on one million ratings in the cloud-en.srt 12.90KB
091 The Cold Start Problem (and solutions).mp4 27.79MB
091 The Cold Start Problem (and solutions)-en.srt 13.24KB
092 [Exercise] Implement Random Exploration.mp4 2.20MB
092 [Exercise] Implement Random Exploration-en.srt 1.79KB
093 Exercise Solution Random Exploration.mp4 24.17MB
093 Exercise Solution Random Exploration-en.srt 4.15KB
094 Stoplists.mp4 19.91MB
094 Stoplists-en.srt 10.30KB
095 [Exercise] Implement a Stoplist.mp4 1.35MB
095 [Exercise] Implement a Stoplist-en.srt 1.16KB
096 Exercise Solution Implement a Stoplist.mp4 26.71MB
096 Exercise Solution Implement a Stoplist-en.srt 4.29KB
097 Filter Bubbles Trust and Outliers.mp4 92.41MB
097 Filter Bubbles Trust and Outliers-en.srt 12.16KB
098 [Exercise] Identify and Eliminate Outlier Users.mp4 1.77MB
098 [Exercise] Identify and Eliminate Outlier Users-en.srt 1.62KB
099 Exercise Solution Outlier Removal.mp4 38.49MB
099 Exercise Solution Outlier Removal-en.srt 7.55KB
100 Fraud The Perils of Clickstream and International Concerns.mp4 58.23MB
100 Fraud The Perils of Clickstream and International Concerns-en.srt 9.68KB
101 Temporal Effects and Value-Aware Recommendations.mp4 54.02MB
101 Temporal Effects and Value-Aware Recommendations-en.srt 7.50KB
102 Case Study YouTube Part 1.mp4 26.91MB
102 Case Study YouTube Part 1-en.srt 7.22KB
103 Case Study YouTube Part 2.mp4 26.26MB
103 Case Study YouTube Part 2-en.srt 14.21KB
104 Case Study Netflix Part 1.mp4 27.55MB
104 Case Study Netflix Part 1-en.srt 7.65KB
105 Case Study Netflix Part 2.mp4 26.57MB
105 Case Study Netflix Part 2-en.srt 7.63KB
106 Hybrid Recommenders and Exercise.mp4 18.40MB
106 Hybrid Recommenders and Exercise-en.srt 5.51KB
107 Exercise Solution Hybrid Recommenders.mp4 33.18MB
107 Exercise Solution Hybrid Recommenders-en.srt 8.35KB
108 More to Explore.mp4 38.93MB
108 More to Explore-en.srt 4.98KB
109 Bonus Lecture Companion Book and More Courses from Sundog Education.mp4 21.12MB
109 Bonus Lecture Companion Book and More Courses from Sundog Education-en.srt 1.66KB
109 Building-Recommender-Systems-book-on-Amazon.txt 23B
109 Sundog-Education-website.txt 35B
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