Distributed Computing Using Spark
Experiments & Schedule
| Nr. | Content | Release | Submission | Discussion | |
|---|---|---|---|---|---|
| 1. | Familiarizing with Tools, Loading Data, and Basic Analysis of Data | 17.10.2018 | 31.10.2018, 11h | 07.11.2018 | |
| 2. | Collaborative Filtering Recommender with Spark: ALS Matrix factorization, Recommender system evaluaiton and Hyperparameter tuning. | 31.10.2018 | 14.11.2018, 11h | 21.11.2018 | |
| 3. | Text processing with Spark: Bag of Words representation, TF-IDF, K-means Clustering, Topics extraction using LDA. | 14.11.2018 | 28.11.2018, 11h | 05.12.2018 | |
| 4. | Evaluating a Content-based Recommender System using Spark. | 28.11.2018 | 12.12.2018, 11h | 19.12.2018 | |
| 5. | From Word Embeddings to Paper Recommendation using Spark. | 12.12.2018 | 09.01.2019, 11h | 16.01.2019 | |
| 6. | Classification in Spark, Feature Engineering and Problem Modeling | 09.01.2019 | 30.01.2019, 11h | 06.02.2019 |
Experiments will be directly uploaded to ILIAS .
Solutions have to be submitted via the same platform.
Zuletzt geändert am: 15.10.2018