TC. LinNLP back to basics: Text Representation ModelLarge Language Model is hitting the entire world, however, without understanding the basics, it’d be hard to step into the field of being a…3 min read·Feb 26, 2024----
TC. LinML Feature Engineering: Efficiently Finding Feature CrossesThis article continues from the previous topic: Feature Crosses.2 min read·Dec 17, 2023----
TC. LinML Feature Engineering: Feature CrossesWhen training an ML model, there are times when data features have complex relationships, making it harder for the model to learn the…3 min read·Nov 19, 2023----
TC. LinFeature Normalization: The essential step in Machine Learning when dealing with numbers.Imagine that you are training a Machine Learning model that analyzes how the height and weight of a person affect health.3 min read·Oct 22, 2023----
TC. LinML Feature Engineering: Dealing with Categorical FeaturesMost of the algorithms in traditional ML, namely, algorithms based on statistical equations, work best with numerical values. However…3 min read·Sep 27, 2023----
TC. LinForward Propagation: The Neural Network PredictionsThis article continues from Neural Network Architecture: Stepping into Deep Learning.3 min read·Sep 21, 2023----
TC. LinNeural Network Architecture: Stepping into Deep Learning (Part 3)This article continues from: Logistic Regression: The Gradient Descent.3 min read·Sep 4, 2023----
TC. LinLogistic Regression: The Gradient DescentThis article continues from Logistic Regression — The One Layer Neural Network.6 min read·Aug 19, 2023----
TC. LinLogistic Regression: The One-Layer Neural Network (Part 1)Fun fact: Logistic regression can be considered a One-Layer Neural Network!3 min read·Aug 15, 2023----
TC. LinPyTorch — 10 Operations You Should Know | The Rising Star in Deep LearningIn the world of deep learning, PyTorch has emerged as a formidable library that is rapidly gaining popularity, even posing a challenge to…4 min read·Jul 19, 2023----