Data Transformation and Discretization: A Comprehensive Guide Post date March 12, 2025 Post author By Aleeza Adnan Post categories In data-engineering, data-mining, data-preparation, data-preprocessing, data-science, data-transformation, discretization, normalization
Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, bimap, normalization, reeig-mimic-transformation, spd-neural-networks, spdnet, tsmnet
Proposing A Novel Framework Called LieBN: A Conclusion Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, euclidean-groups, lie-groups, liebn, normalization, novel-framework, spd-manifolds
A Lie Group Approach to Riemannian Batch Normalization: Experimental Results Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, lie-group-approach, liebn, normalization, riemmanian-batch, spdnet, tsmnet
Revisiting Existing RBN: Developing Riemannian Normalization Approaches Tailored for Manifolds Post date February 25, 2025 Post author By Batching Post categories In batch-normalization, batching, manifolds, normalization, riemannian-normalization, spd-manifolds, traditional-dnns, what-is-batch-normalization
Understanding Database Normalization: A Practical Guide with E-Commerce Examples Post date September 14, 2024 Post author By Paul AJadi Post categories In backend, database, normalization
A Beginner’s Guide to Database Normalization Post date August 30, 2024 Post author By Kawan Idrees Post categories In database, mysql, normalization
4th Form of Database Normalization Design Post date October 31, 2022 Post author By Piyush Dubey Post categories In bcnf, database, database-administration, normalization, system-design-interview
Importance of Data Preprocessing and Scaling in Machine Learning Post date February 25, 2021 Post author By Ivan Zakharchuk Post categories In data-science, machine-learning, normalization, Preprocessors, scaling