PinnedSalih SalihinTowards Data ScienceThe Surprising Behavior of Data in Higher DimensionsA Journey into the Surprising World of High-Dimensional Data: The Blessings and the ChallengesDec 15, 20239Dec 15, 20239
Salih SalihinTowards Data ScienceThe Many Pillars of Getting the Most Value From Your Organization’s DataWhat Organizations Need to Account for to Leverage Their Data Value Fully!Mar 305Mar 305
Salih SalihinTowards Data ScienceMachine Learning Algorithms as a Mapping Between Spaces: From SVMs to Manifold LearningExploring the Beauty of Mapping Between Spaces in SVMs, Autoencoders, and Manifold Learning (Isomaps) AlgorithmsFeb 7Feb 7
Salih SalihinTowards Data ScienceCurse of Dimensionality: An Intuitive ExplorationAn Intuitive Introduction to the Core Challenges When Working with High-Dimensional DataDec 30, 20234Dec 30, 20234
Salih SalihinTowards Data ScienceThree Interpretability Methods to Consider When Developing Your Machine Learning ModelIntroduction to SHAP, LIME, and Anchors, with examples, similarities, pros and cons.Mar 4, 20221Mar 4, 20221
Salih SalihinTowards Data ScienceUnderstanding Machine Learning InterpretabilityIntroduction to machine learning interpretability, driving forces, taxonomy, example, and notes on interpretability assessment.Jan 26, 20222Jan 26, 20222