UdemyCourseDownloader Building Recommender Systems with Machine Learning and AI

UdemyCourseDownloader Building Recommender Systems with Machine Learning and AI

Name	[UdemyCourseDownloader] Building Recommender Systems with Machine Learning and AI	DOWNLOAD Copy Link
Total Size	4.8 GB
Total Files	222
Hash	C48A006613228737FF53C9B640B2A698A820CE24

/08 Introduction to Deep Learning [Optional]/
056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4	190.7 MB
049 Deep Learning Introduction-en.srt	3.4 KB
049 Deep Learning Introduction.mp4	18.5 MB
050 Deep Learning Pre-Requisites-en.srt	18.3 KB
050 Deep Learning Pre-Requisites.mp4	38.8 MB
051 History of Artificial Neural Networks-en.srt	23.0 KB
051 History of Artificial Neural Networks.mp4	88.3 MB
052 [Activity] Playing with Tensorflow-en.srt	23.8 KB
052 [Activity] Playing with Tensorflow.mp4	152.5 MB
053 Training Neural Networks-en.srt	12.8 KB
053 Training Neural Networks.mp4	40.2 MB
054 Tuning Neural Networks-en.srt	8.5 KB
054 Tuning Neural Networks.mp4	32.8 MB
055 Introduction to Tensorflow-en.srt	26.6 KB
055 Introduction to Tensorflow.mp4	97.0 MB
056 [Activity] Handwriting Recognition with Tensorflow part 1-en.srt	34.1 KB
057 [Activity] Handwriting Recognition with Tensorflow part 2-en.srt	13.7 KB
057 [Activity] Handwriting Recognition with Tensorflow part 2.mp4	60.4 MB
058 Introduction to Keras-en.srt	6.3 KB
058 Introduction to Keras.mp4	17.3 MB
059 [Activity] Handwriting Recognition with Keras-en.srt	20.1 KB
059 [Activity] Handwriting Recognition with Keras.mp4	93.0 MB
060 Classifier Patterns with Keras-en.srt	8.2 KB
060 Classifier Patterns with Keras.mp4	26.0 MB
061 [Exercise] Predict Political Parties of Politicians with Keras-en.srt	18.3 KB
061 [Exercise] Predict Political Parties of Politicians with Keras.mp4	105.1 MB
062 Intro to Convolutional Neural Networks (CNNs)-en.srt	18.4 KB
062 Intro to Convolutional Neural Networks (CNNs).mp4	82.0 MB
063 CNN Architectures-en.srt	6.4 KB
063 CNN Architectures.mp4	23.6 MB
064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs)-en.srt	17.2 KB
064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4	86.3 MB
065 Intro to Recurrent Neural Networks (RNNs)-en.srt	15.9 KB
065 Intro to Recurrent Neural Networks (RNNs).mp4	52.1 MB
066 Training Recurrent Neural Networks-en.srt	6.8 KB
066 Training Recurrent Neural Networks.mp4	21.7 MB
067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras-en.srt	23.2 KB
067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4	125.6 MB
/
udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/01 Getting Started/
001 Udemy 101 Getting the Most From This Course-en.srt	4.0 KB
001 Udemy 101 Getting the Most From This Course.mp4	20.7 MB
002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt	15.6 KB
002 [Activity] Install Anaconda course materials and create movie recommendations.mp4	109.1 MB
003 Course Roadmap-en.srt	8.5 KB
003 Course Roadmap.mp4	28.9 MB
004 Types of Recommenders-en.srt	6.8 KB
004 Types of Recommenders.mp4	28.1 MB
005 Understanding You through Implicit and Explicit Ratings-en.srt	9.0 KB
005 Understanding You through Implicit and Explicit Ratings.mp4	21.7 MB
006 Top-N Recommender Architecture-en.srt	11.9 KB
006 Top-N Recommender Architecture.mp4	38.9 MB
007 [Quiz] Review the basics of recommender systems.-en.srt	9.1 KB
007 [Quiz] Review the basics of recommender systems..mp4	22.3 MB
/02 Introduction to Python [Optional]/
008 [Activity] The Basics of Python-en.srt	8.9 KB
008 [Activity] The Basics of Python.mp4	45.1 MB
009 Data Structures in Python-en.srt	9.7 KB
009 Data Structures in Python.mp4	25.6 MB
010 Functions in Python-en.srt	5.3 KB
010 Functions in Python.mp4	12.9 MB
011 [Exercise] Booleans loops and a hands-on challenge-en.srt	6.4 KB
011 [Exercise] Booleans loops and a hands-on challenge.mp4	14.5 MB
/03 Evaluating Recommender Systems/
012 TrainTest and Cross Validation-en.srt	8.5 KB
012 TrainTest and Cross Validation.mp4	30.5 MB
013 Accuracy Metrics (RMSE MAE)-en.srt	8.7 KB
013 Accuracy Metrics (RMSE MAE).mp4	42.2 MB
014 Top-N Hit Rate - Many Ways-en.srt	9.4 KB
014 Top-N Hit Rate - Many Ways.mp4	25.7 MB
015 Coverage Diversity and Novelty-en.srt	10.8 KB
015 Coverage Diversity and Novelty.mp4	14.4 MB
016 Churn Responsiveness and AB Tests-en.srt	11.2 KB
016 Churn Responsiveness and AB Tests.mp4	63.9 MB
017 [Quiz] Review ways to measure your recommender.-en.srt	5.6 KB
017 [Quiz] Review ways to measure your recommender..mp4	13.5 MB
018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt	13.1 KB
018 [Activity] Walkthrough of RecommenderMetrics.py.mp4	67.4 MB
019 [Activity] Walkthrough of TestMetrics.py-en.srt	10.9 KB
019 [Activity] Walkthrough of TestMetrics.py.mp4	57.0 MB
020 [Activity] Measure the Performance of SVD Recommendations-en.srt	5.1 KB
020 [Activity] Measure the Performance of SVD Recommendations.mp4	22.6 MB
/04 A Recommender Engine Framework/
021 Our Recommender Engine Architecture-en.srt	15.2 KB
021 Our Recommender Engine Architecture.mp4	34.3 MB
022 [Activity] Recommender Engine Walkthrough Part 1-en.srt	7.6 KB
022 [Activity] Recommender Engine Walkthrough Part 1.mp4	39.7 MB
023 [Activity] Recommender Engine Walkthrough Part 2-en.srt	8.1 KB
023 [Activity] Recommender Engine Walkthrough Part 2.mp4	41.5 MB
024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt	6.5 KB
024 [Activity] Review the Results of our Algorithm Evaluation..mp4	36.2 MB
/05 Content-Based Filtering/
025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt	18.3 KB
025 Content-Based Recommendations and the Cosine Similarity Metric.mp4	64.6 MB
026 K-Nearest-Neighbors and Content Recs-en.srt	8.3 KB
026 K-Nearest-Neighbors and Content Recs.mp4	20.6 MB
027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt	10.6 KB
027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4	54.9 MB
028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt	8.8 KB
028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4	48.8 MB
029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt	8.7 KB
029 [Exercise] Dive Deeper into Content-Based Recommendations.mp4	25.3 MB
/06 Neighborhood-Based Collaborative Filtering/
030 Measuring Similarity and Sparsity-en.srt	11.0 KB
030 Measuring Similarity and Sparsity.mp4	62.0 MB
031 Similarity Metrics-en.srt	19.3 KB
031 Similarity Metrics.mp4	32.2 MB
032 User-based Collaborative Filtering-en.srt	14.6 KB
032 User-based Collaborative Filtering.mp4	35.9 MB
033 [Activity] User-based Collaborative Filtering Hands-On-en.srt	9.8 KB
033 [Activity] User-based Collaborative Filtering Hands-On.mp4	51.0 MB
034 Item-based Collaborative Filtering-en.srt	9.0 KB
034 Item-based Collaborative Filtering.mp4	54.8 MB
035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt	5.0 KB
035 [Activity] Item-based Collaborative Filtering Hands-On.mp4	28.1 MB
036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt	7.1 KB
036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4	20.7 MB
037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt	2.6 KB
037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4	16.2 MB
038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt	4.6 KB
038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4	10.0 MB
039 KNN Recommenders-en.srt	8.4 KB
039 KNN Recommenders.mp4	26.1 MB
040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt	4.8 KB
040 [Activity] Running User and Item-Based KNN on MovieLens.mp4	24.9 MB
041 [Exercise] Experiment with different KNN parameters.-en.srt	9.0 KB
041 [Exercise] Experiment with different KNN parameters..mp4	43.3 MB
042 Bleeding Edge Alert Translation-Based Recommendations-en.srt	5.0 KB
042 Bleeding Edge Alert Translation-Based Recommendations.mp4	22.5 MB
/07 Matrix Factorization Methods/
043 Principal Component Analysis (PCA)-en.srt	14.4 KB
043 Principal Component Analysis (PCA).mp4	64.2 MB
044 Singular Value Decomposition-en.srt	13.9 KB
044 Singular Value Decomposition.mp4	26.3 MB
045 [Activity] Running SVD and SVD on MovieLens-en.srt	6.5 KB
045 [Activity] Running SVD and SVD on MovieLens.mp4	39.3 MB
046 Improving on SVD-en.srt	9.3 KB
046 Improving on SVD.mp4	24.2 MB
047 [Exercise] Tune the hyperparameters on SVD-en.srt	4.1 KB
047 [Exercise] Tune the hyperparameters on SVD.mp4	13.1 MB
048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt	7.7 KB
048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4	27.7 MB
/09 Deep Learning for Recommender Systems/
068 Intro to Deep Learning for Recommenders-en.srt	4.9 KB
068 Intro to Deep Learning for Recommenders.mp4	44.7 MB
069 Restricted Boltzmann Machines (RBMs)-en.srt	16.6 KB
069 Restricted Boltzmann Machines (RBMs).mp4	33.2 MB
070 [Activity] Recommendations with RBMs part 1-en.srt	25.7 KB
070 [Activity] Recommendations with RBMs part 1.mp4	151.5 MB
071 [Activity] Recommendations with RBMs part 2-en.srt	14.4 KB
071 [Activity] Recommendations with RBMs part 2.mp4	80.5 MB
072 [Activity] Evaluating the RBM Recommender-en.srt	6.8 KB
072 [Activity] Evaluating the RBM Recommender.mp4	39.5 MB
073 [Exercise] Tuning Restricted Boltzmann Machines-en.srt	3.9 KB
073 [Exercise] Tuning Restricted Boltzmann Machines.mp4	35.2 MB
074 Exercise Results Tuning a RBM Recommender-en.srt	2.5 KB
074 Exercise Results Tuning a RBM Recommender.mp4	12.4 MB
075 Auto-Encoders for Recommendations Deep Learning for Recs-en.srt	9.6 KB
075 Auto-Encoders for Recommendations Deep Learning for Recs.mp4	28.2 MB
076 [Activity] Recommendations with Deep Neural Networks-en.srt	13.7 KB
076 [Activity] Recommendations with Deep Neural Networks.mp4	79.1 MB
077 Clickstream Recommendations with RNNs-en.srt	15.5 KB
077 Clickstream Recommendations with RNNs.mp4	51.1 MB
078 [Exercise] Get GRU4Rec Working on your Desktop-en.srt	5.4 KB
078 [Exercise] Get GRU4Rec Working on your Desktop.mp4	7.8 MB
079 Exercise Results GRU4Rec in Action-en.srt	16.7 KB
079 Exercise Results GRU4Rec in Action.mp4	65.7 MB
080 Bleeding Edge Alert Deep Factorization Machines-en.srt	11.7 KB
080 Bleeding Edge Alert Deep Factorization Machines.mp4	60.1 MB
081 More Emerging Tech to Watch-en.srt	10.8 KB
081 More Emerging Tech to Watch.mp4	29.0 MB
/10 Scaling it Up/
082 [Activity] Introduction and Installation of Apache Spark-en.srt	8.4 KB
082 [Activity] Introduction and Installation of Apache Spark.mp4	55.9 MB
083 Apache Spark Architecture-en.srt	10.5 KB
083 Apache Spark Architecture.mp4	18.2 MB
084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS-en.srt	11.4 KB
084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS.mp4	58.3 MB
085 [Activity] Recommendations from 20 million ratings with Spark-en.srt	8.6 KB
085 [Activity] Recommendations from 20 million ratings with Spark.mp4	53.1 MB
086 Amazon DSSTNE-en.srt	9.4 KB
086 Amazon DSSTNE.mp4	44.4 MB
087 DSSTNE in Action-en.srt	11.9 KB
087 DSSTNE in Action.mp4	122.3 MB
088 Scaling Up DSSTNE-en.srt	4.3 KB
088 Scaling Up DSSTNE.mp4	10.9 MB
089 AWS SageMaker and Factorization Machines-en.srt	8.6 KB
089 AWS SageMaker and Factorization Machines.mp4	16.3 MB
090 SageMaker in Action Factorization Machines on one million ratings in the cloud-en.srt	13.2 KB
090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4	71.7 MB
/11 Real-World Challenges of Recommender Systems/
091 The Cold Start Problem (and solutions)-en.srt	13.6 KB
091 The Cold Start Problem (and solutions).mp4	29.1 MB
092 [Exercise] Implement Random Exploration-en.srt	1.8 KB
092 [Exercise] Implement Random Exploration.mp4	2.3 MB
093 Exercise Solution Random Exploration-en.srt	4.3 KB
093 Exercise Solution Random Exploration.mp4	25.3 MB
094 Stoplists-en.srt	10.5 KB
094 Stoplists.mp4	20.9 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	4.4 KB
096 Exercise Solution Implement a Stoplist.mp4	28.0 MB
097 Filter Bubbles Trust and Outliers-en.srt	12.4 KB
097 Filter Bubbles Trust and Outliers.mp4	96.9 MB
098 [Exercise] Identify and Eliminate Outlier Users-en.srt	1.7 KB
098 [Exercise] Identify and Eliminate Outlier Users.mp4	1.9 MB
099 Exercise Solution Outlier Removal-en.srt	7.7 KB
099 Exercise Solution Outlier Removal.mp4	40.4 MB
100 Fraud The Perils of Clickstream and International Concerns-en.srt	9.9 KB
100 Fraud The Perils of Clickstream and International Concerns.mp4	61.1 MB
101 Temporal Effects and Value-Aware Recommendations-en.srt	7.7 KB
101 Temporal Effects and Value-Aware Recommendations.mp4	56.6 MB
/12 Case Studies/
102 Case Study YouTube Part 1-en.srt	7.4 KB
102 Case Study YouTube Part 1.mp4	28.2 MB
103 Case Study YouTube Part 2-en.srt	14.6 KB
103 Case Study YouTube Part 2.mp4	27.5 MB
104 Case Study Netflix Part 1-en.srt	7.8 KB
104 Case Study Netflix Part 1.mp4	28.9 MB
105 Case Study Netflix Part 2-en.srt	7.8 KB
105 Case Study Netflix Part 2.mp4	27.9 MB
/13 Hybrid Approaches/
106 Hybrid Recommenders and Exercise-en.srt	5.6 KB
106 Hybrid Recommenders and Exercise.mp4	19.3 MB
107 Exercise Solution Hybrid Recommenders-en.srt	8.5 KB
107 Exercise Solution Hybrid Recommenders.mp4	34.8 MB
/14 Wrapping Up/
108 More to Explore-en.srt	5.1 KB
108 More to Explore.mp4	40.8 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	22.1 MB
109 Building-Recommender-Systems-book-on-Amazon.txt	0.0 KB
109 Sundog-Education-website.txt	0.0 KB
Total files 222