PinnedArash NicoomaneshThe Rise of Language Giants: How LLMs are Transforming Healthcare .Part I : A Comprehensive Guide to LLMs FundamentalsMay 6May 6
PinnedArash NicoomaneshCategorical Features Encoding Advanced Techniques: An OverviewThe performance of machine learning models not only depends on the models and the hyper-parameters and optimization techniques but also on…Nov 23, 2022Nov 23, 2022
PinnedArash NicoomaneshModel Drift: Identifying and Monitoring for Model Drift in Machine Learning Engineering and…“Drift” is a term used in machine learning to describe how the performance of a machine learning model in production slowly gets worse over…Feb 16Feb 16
PinnedArash NicoomaneshConfidence Interval: The Dance of Predictions and UncertaintyIn the dynamic world of machine learning, predictions cast a captivating light, yet uncertainty lurks beneath the surface. Enter confidence…Feb 17Feb 17
PinnedArash NicoomaneshMachine Learning Interpretability (MLI) with XGBoost and Additive Tools (SHAP)Modern artificial intelligence (AI) or machine learning (ML) methods can be used to build sophisticated models that obtain fantastic…Apr 30, 2023Apr 30, 2023
Arash NicoomaneshA Gentle Introduction to Retrieval Augmented Generation (RAG)While large language models (LLMs) excel at storing and learning factual information from vast datasets, their reliance on statistical…May 21May 21
Arash NicoomaneshEvolution of Recommendation Algorithms, Part I: Fundamentals , History Overview, Core and Classical…A Comprehensive overview of Recommendation Algorithms and EvolutionMar 25Mar 25
Arash NicoomaneshConquer Machine Learning: A Structured Roadmap and Kaggle Competitions AnalysisIn the age of Artificial Intelligence (AI) and Generative AI , machine learning (ML) algorithms are everywhere. They power the…Mar 8Mar 8
Arash NicoomaneshData Leakage : Causes, Effects and SolutionsWhy does my model produce too good to be true output?Mar 3Mar 3
