Dhirendra ChoudharyStochastic Gradient Descent in Python: A Complete Guide for ML OptimizationStochastic Gradient Descent (SGD) is a cornerstone technique in machine learning optimization. This guide will walk you through the…Jul 26Jul 26
Dhirendra ChoudharyFinding the Right Balance in Machine Learning: The Bias-Variance PuzzleIntroduction: Machine learning is all about teaching computers to make smart guesses. But sometimes, these guesses can be a little off…Apr 27Apr 27
Dhirendra ChoudharyUnleashing the Future of Conversational AI: Navigating Vectors, Embeddings, and Vector DatabasesTable of ContentJan 12Jan 12
Dhirendra ChoudharyBuilding an Intelligent Medical Bot: A Comprehensive Guide to LangChain, ChromaDB, and Q&A SystemsTable of ContentsJan 11Jan 11
Dhirendra ChoudharyMastering Text Generation: A Comprehensive Exploration of ChatGPT Optimization with LangchainOptimizing ChatGPT Responses with LangchainJan 9Jan 9
Dhirendra ChoudharyWhat are the ways to detect outliers?Outliers are data points that differ significantly from other observations in a dataset. They can distort the results of statistical…Feb 2, 2023Feb 2, 2023
Dhirendra ChoudharyWhat is the difference between stochastic gradient descent (SGD) and gradient descent (GD)?Stochastic Gradient Descent (SGD) and Gradient Descent (GD) are two popular optimization algorithms used in machine learning and deep…Jan 21, 2023Jan 21, 2023
Dhirendra ChoudharyWhy Support Vector Regression? Difference between SVR and a simple regression model?Support vector regression (SVR) is a type of regression analysis that uses support vector machines (SVMs) to fit a model to data. It is a…Jan 6, 2023Jan 6, 2023
Dhirendra ChoudharyWhat is L1 and L2 Regularization?L1 regularization, also known as L1 penalty or Lasso regularization, is a technique used in machine learning to prevent overfitting and…Dec 31, 2022Dec 31, 2022
Dhirendra ChoudharyLinear Regression: In-depthLinear regression is a statistical method used to model the linear relationship between a dependent variable and one or more independent…Dec 31, 2022Dec 31, 2022
