Journal Data Science is a peer-reviewed and open access journal published by Sorak Gema Intelektual. The journal consists of two issues a year (June and December). Journal Data Science welcomes issues related to Model Training, Machine Learning, and Artificial Neural Networks. In addition, Data Manipulation, Coding Errors, and Tools were also identified as the most viewed (most popular) topics. On the other hand, the most difficult topics were identified as Time Series, Computer Vision, and Recommendation Systems. The journal welcomes contributions from scholars in related fields. Novelty and recency of issues are prioritized in publishing. If a submitted manuscript does not conform to the guidelines or uses a different format, it may be deemed unsuitable and rejected before further review. Manuscript submission must be done through the OJS system.
