Anthony DemeusyinTowards AISelf-Attention in Transformers: Computation logic and implementationUnderstanding how self-attention is computed in TransfomersApr 211Apr 211
Anthony DemeusyIntroduction to Hugging Face: A Starter’s Guide to Using Online ModelsHugging Face has emerged as a prominent player¹ in the ever-evolving landscape of machine learning and artificial intelligence. Its…Jan 181Jan 181
Anthony DemeusyROC curve and AUC: An Intuitive Approach and Implementation GuideA step-by-step guide to constructing and understanding ROC curves and AUC, 2 fundamental concepts in the evaluation of classification…Dec 3, 2023Dec 3, 2023
Anthony DemeusyMachine Learning Tips: Adjusting Decision Threshold for binary classificationProbabilistic models such as logistic regression or Naive Bayes model are commonly used for binary classification tasks. However…Sep 24, 2023Sep 24, 2023
Anthony DemeusyMastering Confusion Matrix: A Cheat Sheet for Binary ClassificationConfused by confusion matrixes? You are not alone. Many find it challenging to remember the various metrics derived from confusion matrices…Jul 10, 20233Jul 10, 20233
Anthony DemeusyPearson correlation: Methodology, Limitations & Alternatives — Part 3: AlternativesThis article is the third and last one of a series of three articles providing a non-mathematical overview of Pearson correlation analysis…Jun 10, 2023Jun 10, 2023
Anthony DemeusyPearson correlation: Methodology, Limitations & Alternatives — Part 2: LimitationsThis article is the second of a series of three articles providing a non-mathematical overview of Pearson correlation analysis. These…Jun 9, 2023Jun 9, 2023
Anthony DemeusyPearson correlation: Methodology, Limitations & Alternatives — Part 1 : MethodologyThe Pearson correlation coefficient is a staple of data analysis. It is easy to compute and plenty of implementations are available. Its…Jun 4, 2023Jun 4, 2023
