Evolution of Language Representation Techniques: A Journey from BoW to GPTLanguage Representation and Vectorization Techniques in NLP.Nov 3Nov 3
Weight Initialization in Neural Networks: A Simple GuideTopic: Zeros, Ones, Identity Metric, Constant Value ,Random Value and its Types.Oct 21Oct 21
Hacking the System Design: How Search Engines Understand and Deliver ResultsTopic Covered: Core Types, Distance Metrics and Query Rewriting.Oct 18Oct 18
Published inThe Modern ScientistOvercoming Common Pitfalls in Multilayer Perceptron: A Guide to Understand & Handling Overfitting…Topic Covered: Regularization, Dropout, Batch Normalization, Early Stopping, Model Complexity Reduction, Increase Data, Increase Complexity…Oct 17Oct 17
Published inTowards AIFeature Selection Unlocked: Exploring Filter, Wrapper, and Embedding TechniquesFilter Method, Wrapper Method, and Embedding MethodSep 91Sep 91
Published inTowards AIOptimizing Machine Learning Models: A Deep Dive into Hyperparameter Tuning TechniquesGrid Search, Random Search and Bayesian OptimizationSep 41Sep 41
Published inThe Modern ScientistCross-Validation Unleashed: The Key to Robust Model PerformanceIn This Blog I explain Cross Validation Technique like :Hold Out Cross Validation, Leave One Out Cross Validation, K- Fold Cross…Aug 26Aug 26
Mastering Regression Evaluation Metrics: A Comprehensive Guide to Measuring Model PerformanceThis blog is all about making regression evaluation metrics easy to understand. We’ll break down MSE, MAD, RMSE, R² score, and adjusted R²…Aug 24Aug 24
Classification Evaluation Metrics: The Ultimate Guide to Accurate Predictions.This blog is completely dedicated to the crucial metrics used in classification problems. You might have come across problem statements…Aug 231Aug 231
🎓 Achieve Statistical Excellence: Mastering Hypothesis Testing from Basics to Advanced 📊Mastering Hypothesis Testing: Your Complete Guide to Understanding Types, Techniques, and Real-World Examples.Jul 4Jul 4