Exploring Common Classification Models

Explore K-Nearest-Neighbor, Support Vector Machines, and Decision Trees: What they are and when to apply which.

A fast and efficient setup for deep learning with fastsetup

How to get it all working?

Unleashing the Power of Conversational AI: A Seamless Guide to Creating an Amazon Lex Chatbot with Bedrock Claude LLM Model

Reinforcement Learning is Dead. Long Live the Transformer!

Large Language Models are more powerful than you imagine.

Building And Training A Transformer From Scratch

Using PyTorch to build and train one of the most groundbreaking models in Machine Learning history

EDA for the Iris Flower dataset

EDA on the Iris dataset with colorful visualizations using Python’s seaborn and matplotlib libraries.

Transfer Learning with YOLOv8 — a Case Study

In this post, we will look at a case study where we aim to use YOLOv8 to detect white blood cells in images.

How to Freeze Model Weights in PyTorch for Transfer Learning: Step-by-Step Tutorial

A step-by-step guide to freezing weights in PyTorch for transfer learning, using a simple example.

Building an AI Image Classification Tool with Next.js

Unlock the Potential of AI Image Classification with Next.js and MobileNet

Cracking the Complex PDF Conundrum with Llama index