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|
0101.Install Anaconda, course materials, and create movie recommendations!.mp4
|
MP4
|
88.1 MB
|
|
|
0102.Course Roadmap.mp4
|
MP4
|
69.3 MB
|
|
|
0103.Types of Recommenders.mp4
|
MP4
|
14.1 MB
|
|
|
0104.Understanding You through Implicit and Explicit Ratings.mp4
|
MP4
|
9.2 MB
|
|
|
0105.Top-N Recommender Architecture.mp4
|
MP4
|
15.3 MB
|
|
|
0106.Review the basics of recommender systems..mp4
|
MP4
|
11.2 MB
|
|
|
0201.The Basics of Python.mp4
|
MP4
|
42 MB
|
|
|
0202.Data Structures in Python.mp4
|
MP4
|
11.6 MB
|
|
|
0203.Functions in Python.mp4
|
MP4
|
5.9 MB
|
|
|
0204.Booleans, loops, and a hands-on challenge.mp4
|
MP4
|
7.3 MB
|
|
|
0301.TrainTest and Cross Validation.mp4
|
MP4
|
23.2 MB
|
|
|
0302.Accuracy Metrics (RMSE, MAE).mp4
|
MP4
|
46.7 MB
|
|
|
0303.Top-N Hit Rate - Many Ways.mp4
|
MP4
|
12.2 MB
|
|
|
0304.Coverage, Diversity, and Novelty.mp4
|
MP4
|
7.9 MB
|
|
|
0305.Churn, Responsiveness, and AB Tests.mp4
|
MP4
|
82.7 MB
|
|
|
0306.Review ways to measure your recommender..mp4
|
MP4
|
8.3 MB
|
|
|
0307.Walkthrough of RecommenderMetrics.py.mp4
|
MP4
|
38.8 MB
|
|
|
0308.Walkthrough of TestMetrics.py.mp4
|
MP4
|
25.3 MB
|
|
|
0309.Measure the Performance of SVD Recommendations.mp4
|
MP4
|
12 MB
|
|
|
0401.Our Recommender Engine Architecture.mp4
|
MP4
|
18.2 MB
|
|
|
0402.Recommender Engine Walkthrough, Part 1.mp4
|
MP4
|
18.6 MB
|
|
|
0403.Recommender Engine Walkthrough, Part 2.mp4
|
MP4
|
18.6 MB
|
|
|
0404.Review the Results of our Algorithm Evaluation..mp4
|
MP4
|
14.3 MB
|
|
|
0501.Content-Based Recommendations, and the Cosine Similarity Metric.mp4
|
MP4
|
38.5 MB
|
|
|
0502.K-Nearest-Neighbors and Content Recs.mp4
|
MP4
|
11.8 MB
|
|
|
0503.Producing and Evaluating Content-Based Movie Recommendations.mp4
|
MP4
|
27.9 MB
|
|
|
0504.Bleeding Edge Alert! Mise en Scene Recommendations.mp4
|
MP4
|
33.7 MB
|
|
|
0505.Dive Deeper into Content-Based Recommendations.mp4
|
MP4
|
10.7 MB
|
|
|
0601.Measuring Similarity, and Sparsity.mp4
|
MP4
|
69.7 MB
|
|
|
0602.Similarity Metrics.mp4
|
MP4
|
15.4 MB
|
|
|
0603.User-based Collaborative Filtering.mp4
|
MP4
|
20 MB
|
|
|
0604.User-based Collaborative Filtering, Hands-On.mp4
|
MP4
|
24.6 MB
|
|
|
0605.Item-based Collaborative Filtering.mp4
|
MP4
|
61.6 MB
|
|
|
0606.Item-based Collaborative Filtering, Hands-On.mp4
|
MP4
|
18.1 MB
|
|
|
0607.Tuning Collaborative Filtering Algorithms.mp4
|
MP4
|
10.1 MB
|
|
|
0608.Evaluating Collaborative Filtering Systems Offline.mp4
|
MP4
|
10.6 MB
|
|
|
0609.Measure the Hit Rate of Item-Based Collaborative Filtering.mp4
|
MP4
|
4.4 MB
|
|
|
0610.KNN Recommenders.mp4
|
MP4
|
21.9 MB
|
|
|
0611.Running User and Item-Based KNN on MovieLens.mp4
|
MP4
|
19.6 MB
|
|
|
0612.Experiment with different KNN parameters..mp4
|
MP4
|
38.8 MB
|
|
|
0613.Bleeding Edge Alert! Translation-Based Recommendations.mp4
|
MP4
|
19.6 MB
|
|
|
0701.Principal Component Analysis (PCA).mp4
|
MP4
|
65 MB
|
|
|
0702.Singular Value Decomposition.mp4
|
MP4
|
13 MB
|
|
|
0703.Running SVD and SVD++ on MovieLens.mp4
|
MP4
|
23.1 MB
|
|
|
0704.Improving on SVD.mp4
|
MP4
|
9.7 MB
|
|
|
0705.Tune the hyperparameters on SVD.mp4
|
MP4
|
8 MB
|
|
|
0706.Bleeding Edge Alert! Sparse Linear Methods (SLIM).mp4
|
MP4
|
21.1 MB
|
|
|
0801.Deep Learning Introduction.mp4
|
MP4
|
22.8 MB
|
|
|
0802.Deep Learning Pre-Requisites.mp4
|
MP4
|
20.1 MB
|
|
|
0803.History of Artificial Neural Networks.mp4
|
MP4
|
40.4 MB
|
|
|
0804.[Activity] Playing with Tensorflow.mp4
|
MP4
|
116.9 MB
|
|
|
0805.Training Neural Networks.mp4
|
MP4
|
18.8 MB
|
|
|
0806.Tuning Neural Networks.mp4
|
MP4
|
13.1 MB
|
|
|
0807.Introduction to Tensorflow.mp4
|
MP4
|
43 MB
|
|
|
0808.[Activity] Handwriting Recognition with Tensorflow, part 1.mp4
|
MP4
|
92.9 MB
|
|
|
0809.[Activity] Handwriting Recognition with Tensorflow, part 2.mp4
|
MP4
|
27.4 MB
|
|
|
0810.Introduction to Keras.mp4
|
MP4
|
6.7 MB
|
|
|
0811.[Activity] Handwriting Recognition with Keras.mp4
|
MP4
|
46.9 MB
|
|
|
0812.Classifier Patterns with Keras.mp4
|
MP4
|
13.1 MB
|
|
|
0813.[Exercise] Predict Political Parties of Politicians with Keras.mp4
|
MP4
|
53.7 MB
|
|
|
0814.Intro to Convolutional Neural Networks (CNN_s).mp4
|
MP4
|
36.4 MB
|
|
|
0815.CNN Architectures.mp4
|
MP4
|
9.6 MB
|
|
|
0816.[Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4
|
MP4
|
42.4 MB
|
|
|
0817.Intro to Recurrent Neural Networks (RNN_s).mp4
|
MP4
|
22.5 MB
|
|
|
0818.Training Recurrent Neural Networks.mp4
|
MP4
|
10.1 MB
|
|
|
0819.[Activity] Sentiment Analysis of Movie Reviews using RNN_s and Keras.mp4
|
MP4
|
73.4 MB
|
|
|
0901.Intro to Deep Learning for Recommenders.mp4
|
MP4
|
56 MB
|
|
|
0902.Restricted Boltzmann Machines (RBM_s).mp4
|
MP4
|
15.9 MB
|
|
|
0903.[Activity] Recommendations with RBM_s, part 1.mp4
|
MP4
|
50.5 MB
|
|
|
0904.[Activity] Recommendations with RBM_s, part 2.mp4
|
MP4
|
26.4 MB
|
|
|
0905.[Activity] Evaluating the RBM Recommender.mp4
|
MP4
|
19.8 MB
|
|
|
0906.[Exercise] Tuning Restricted Boltzmann Machines.mp4
|
MP4
|
53.7 MB
|
|
|
0907.Exercise Results Tuning a RBM Recommender.mp4
|
MP4
|
6.6 MB
|
|
|
0908.Auto-Encoders for Recommendations Deep Learning for Recs.mp4
|
MP4
|
11.8 MB
|
|
|
0909.[Activity] Recommendations with Deep Neural Networks.mp4
|
MP4
|
37.2 MB
|
|
|
0910.Clickstream Recommendations with RNN_s.mp4
|
MP4
|
24.8 MB
|
|
|
0911.[Exercise] Get GRU4Rec Working on your Desktop.mp4
|
MP4
|
3.9 MB
|
|
|
0912.Exercise Results GRU4Rec in Action.mp4
|
MP4
|
41.1 MB
|
|
|
0913.Bleeding Edge Alert! Deep Factorization Machines.mp4
|
MP4
|
44.3 MB
|
|
|
0914.More Emerging Tech to Watch.mp4
|
MP4
|
14.2 MB
|
|
|
1001.[Activity] Introduction and Installation of Apache Spark.mp4
|
MP4
|
40 MB
|
|
|
1002.Apache Spark Architecture.mp4
|
MP4
|
9.4 MB
|
|
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1003.[Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.mp4
|
MP4
|
23.8 MB
|
|
|
1004.[Activity] Recommendations from 20 million ratings with Spark.mp4
|
MP4
|
26.9 MB
|
|
|
1005.Amazon DSSTNE.mp4
|
MP4
|
41.4 MB
|
|
|
1006.DSSTNE in Action.mp4
|
MP4
|
61.1 MB
|
|
|
1007.Scaling Up DSSTNE.mp4
|
MP4
|
4.8 MB
|
|
|
1008.AWS SageMaker and Factorization Machines.mp4
|
MP4
|
8 MB
|
|
|
1009.SageMaker in Action Factorization Machines on one million ratings, in the cloud.mp4
|
MP4
|
44.2 MB
|
|
|
1101.The Cold Start Problem (and solutions).mp4
|
MP4
|
11.8 MB
|
|
|
1102.[Exercise] Implement Random Exploration.mp4
|
MP4
|
1.2 MB
|
|
|
1103.Exercise Solution Random Exploration.mp4
|
MP4
|
15.4 MB
|
|
|
1104.Stoplists.mp4
|
MP4
|
8.7 MB
|
|
|
1105.[Exercise] Implement a Stoplist.mp4
|
MP4
|
761.8 KB
|
|
|
1106.Exercise Solution Implement a Stoplist.mp4
|
MP4
|
15.1 MB
|
|
|
1107.Filter Bubbles, Trust, and Outliers.mp4
|
MP4
|
21.8 MB
|
|
|
1109.Exercise Solution Outlier Removal.mp4
|
MP4
|
16.6 MB
|
|
|
1110.Fraud, the Perils of Clickstream, and International Concerns.mp4
|
MP4
|
72.8 MB
|
|
|
1111.Temporal Effects, and Value-Aware Recommendations.mp4
|
MP4
|
81.6 MB
|
|
|
1201.Case Study YouTube, Part 1.mp4
|
MP4
|
12.8 MB
|
|
|
1202.Case Study YouTube, Part 2.mp4
|
MP4
|
12.5 MB
|
|
|
1203.Case Study Netflix, Part 1.mp4
|
MP4
|
13.9 MB
|
|
|
1204.Case Study Netflix, Part 2.mp4
|
MP4
|
9.8 MB
|
|
|
1301.Hybrid Recommenders and Exercise.mp4
|
MP4
|
8.8 MB
|
|
|
1302.Exercise Solution Hybrid Recommenders.mp4
|
MP4
|
20.4 MB
|
|
|
1401.More to Explore.mp4
|
MP4
|
61.9 MB
|
|
|
[CourseClub.NET].url
|
URL
|
102.4 B
|
|
|
[DesireCourse.Com].url
|
URL
|
0 B
|
|
|
exercise_files.zip
|
ZIP
|
1.7 MB
|
![[Packtpub] Building Recommender Systems with Machine Learning and AI](/static/img/no-torrent-image.png "[Packtpub] Building Recommender Systems with Machine Learning and AI")
