From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning
This article shows how Shannon’s information theory connects to the tools you’ll find in modern…
Category: AI
BERT Models and Its Variants
BERT is a transformer-based model for NLP tasks that was released by Google in 2018.…
Preparing Data for BERT Training
“”“Process the WikiText dataset for training the BERT model. Using Hugging Face datasets library. ““”…
The Complete Guide to Docker for Machine Learning Engineers
In this article, you will learn how to use Docker to package, run, and ship…
K-Means Cluster Evaluation with Silhouette Analysis
In this article, you will learn how to evaluate k-means clustering results using silhouette analysis…
Why Decision Trees Fail (and How to Fix Them)
In this article, you will learn why decision trees sometimes fail in practice and how…
Expert-Level Feature Engineering: Advanced Techniques for High-Stakes Models
In this article, you will learn three expert-level feature engineering strategies — counterfactual features, domain-constrained…
Building ReAct Agents with LangGraph: A Beginner’s Guide
In this article, you will learn how the ReAct (Reasoning + Acting) pattern works and…
Datasets for Training a Language Model
A language model is a mathematical model that describes a human language as a probability…
7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs Introduction Large language models (LLMs) exhibit…