From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning

From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning

  In 1948, Claude Shannon published a paper that changed how we think about information forever.

Read More...
BERT Models and Its Variants

BERT Models and Its Variants

This article is divided into two parts; they are: • Architecture and Training of BERT • Variations of BERT BERT is an encoder-only model.

Read More...
Preparing Data for BERT Training

Preparing Data for BERT Training

This article is divided into four parts; they are: • Preparing Documents • Creating Sentence Pairs from Document • Masking Tokens • Saving the Training Data for Reuse Unlike decoder-only models,...

Read More...
The Complete Guide to Docker for Machine Learning Engineers

The Complete Guide to Docker for Machine Learning Engineers

Machine learning models often behave differently across environments.

Read More...
K-Means Cluster Evaluation with Silhouette Analysis

K-Means Cluster Evaluation with Silhouette Analysis

Clustering models in machine learning must be assessed by how well they separate data into meaningful groups with distinctive characteristics.

Read More...
Pretrain a BERT Model from Scratch

Pretrain a BERT Model from Scratch

This article is divided into three parts; they are: • Creating a BERT Model the Easy Way • Creating a BERT Model from Scratch with PyTorch • Pre-training the BERT Model If your goal is to create a...

Read More...

Search Here

Recent posts