Chris YanUnderstanding Transformer Architectures: Decoder-Only, Encoder-Only, and Encoder-Decoder ModelsThe Standard Transformer was introduced in the seminal paper “Attention is All You Need” by Vaswani et al. in 2017. The Transformer…Nov 20, 2024Nov 20, 2024
Chris YanUnderstanding Cross-Encoders: Architecture, Implementation, and ApplicationsCross-encoders are a powerful class of models widely used in tasks that require precise pairwise scoring, such as information retrieval…Nov 6, 2024Nov 6, 2024
Chris YanImplementing Model Compression Techniques for Deploying DL models or LLMs in Resource-Constrained…As the use of large language models (LLMs) or deep learning models (DL) becomes increasingly prevalent, the challenge of deploying these…Nov 5, 2024Nov 5, 2024
Chris YanAnomaly Detection Using Isolation Forest: A Comprehensive GuideAnomaly detection is a vital task in various applications like fraud detection, network security, manufacturing quality control, and…Sep 30, 2024Sep 30, 2024
Chris YanHandling Skewed Features in Machine Learning: Identification, Strategies, and Best PracticesSep 25, 2024Sep 25, 2024
Chris YanAn Introduction to the Prophet Model: Time Series Forecasting Made EasyTime series forecasting is an essential task in many industries, from finance to retail, where predicting future trends can guide critical…Sep 23, 2024Sep 23, 2024
Chris YanCustomer Behavior Segmentation Using RFME (Recency, Frequency, Monetary, Engagement) for E-Commerce…Customer behavior segmentation is a powerful tool for e-commerce businesses aiming to personalize their marketing strategies, improve…Sep 18, 2024Sep 18, 2024
Chris YanM Estimate Encoding: A Comprehensive GuideM Estimate Encoding is a powerful technique used for handling high cardinality categorical variables, particularly in machine learning…Sep 16, 2024Sep 16, 2024
Chris YanUnderstanding SARIMAX: An Seasonal Time Series Forecasting TechniqueSARIMAX, or Seasonal AutoRegressive Integrated Moving Average with eXogenous factors, is a powerful extension of the ARIMA model that…Aug 5, 2024Aug 5, 2024
Chris YanUnderstanding the Vector AutoRegressive (VAR) Model When Dealing with Multiple Time Series…The Vector AutoRegressive (VAR) model is a powerful tool in time series analysis, especially when dealing with multiple interrelated time…Jul 31, 2024Jul 31, 2024
Chris YanUnderstanding Hamming Distance: A Measure of SimilarityIn the fields of computer science, information theory, and coding theory, the Hamming distance is a fundamental metric for measuring the…Jul 24, 2024Jul 24, 2024
Chris YanUnderstanding the Matthews Correlation Coefficient (MCC) in ClassificationIn the realm of binary classification, evaluating the performance of a model is crucial to understanding its effectiveness. Among various…Jul 23, 20241Jul 23, 20241
Chris YanUnderstanding Cook’s Distance in Regression AnalysisIn regression analysis, Cook’s distance is a measure used to identify influential data points that have a disproportionate impact on the…Jul 22, 2024Jul 22, 2024
Chris YanAkaike Information Criterion (AIC): A Comprehensive GuideThe Akaike Information Criterion (AIC) is a powerful tool for model selection in statistics and machine learning. Developed by Hirotsugu…Jul 18, 2024Jul 18, 2024
Chris YanUnderstanding F-Scores in Classification including F1, F2, and Fβ scoresJul 17, 2024Jul 17, 2024
Chris YanIntegrating a Pretrained Model ID into Hugging Face Pipeline with Longformer ModelJul 16, 2024Jul 16, 2024
Chris YanAn End-to-End E-commerce Customer Segmentation Model with Python’s scikit-learnCustomer segmentation is a powerful strategy for understanding and targeting different customer groups based on their behaviors and…Jul 11, 2024Jul 11, 2024