Path To Machine Learning

Oct 15, 20269 min read

Building a Air Quality Forecasting Pipeline with a Feature Store

In this blog, we will use a real example to demonstrate how MLOps can be implemented using GitHub Actions. While this example highlights the importance of MLOps, please note that we are not deploying

Implementing a ResNet-34 CNN Using PyTorch
A while ago, I authored an article Implementing ResNet CNN that provided a detailed explanation of ResNet Convolutional Neural Networks (CNN) along with an implementation using TensorFlow. In this upcoming article, we will take a closer look at ResNe...
Jan 29, 20267 min read46 views
Deep learning using Pytorch on Images dataset
The CIFAR-10 dataset is a widely used collection of images in the field of machine learning. It consists of 60,000 32x32 color images categorized into 10 different classes, with each class containing 6,000 images. These classes include airplanes, aut...
Jan 28, 20269 min read17 views
Convolutional Neural Network
A convolutional neural network (CNN) is an advanced deep learning architecture designed for the identification and classification of images. In addition to image recognition, CNNs are utilized for object detection within images, audio classification,...
Jan 27, 20265 min read35 views
Deep Learning Explained
In the realm of popular neural network architectures, a diverse array of layer types is employed, each serving a distinct purpose. In this blog, we will delve into one of the most fundamental components: the linear layer. This layer is characterized ...
Jan 17, 20268 min read40 views
Importance of dot product in machine learning
In the most basic type of machine learning model, the output is calculated by taking a weighted sum of the input features. Each input is multiplied by a corresponding weight that represents its importance in the model. Once this weighted sum is obtai...
Jan 11, 20265 min read30 views
Algorithms in Amazon SageMaker AI
Amazon SageMaker AI is a fully managed machine learning service provided by AWS that enables developers and data scientists to build, train, and deploy machine learning models at scale. Amazon SageMaker AI is a cloud-based platform that simplifies th...
Oct 10, 202517 min read48 views

Building a Air Quality Forecasting Pipeline with a Feature Store

Building an Agentic CI/CD Pipeline with Amazon Bedrock, GitLab CI, and AWS CDK

Reliable JSON Responses from LLMs

Multi-Agent Loan Processing AgenticAI

Implementing LSTM RNN using Pytorch

Implementing a ResNet-34 CNN Using PyTorch

Deep learning using Pytorch on Images dataset

Convolutional Neural Network

Deep Learning Explained

Importance of dot product in machine learning

Algorithms in Amazon SageMaker AI

Path To Machine Learning

Latest articles

Building a Air Quality Forecasting Pipeline with a Feature Store

Building an Agentic CI/CD Pipeline with Amazon Bedrock, GitLab CI, and AWS CDK

Reliable JSON Responses from LLMs

Multi-Agent Loan Processing AgenticAI

Implementing LSTM RNN using Pytorch

Implementing a ResNet-34 CNN Using PyTorch

Deep learning using Pytorch on Images dataset

Convolutional Neural Network

Deep Learning Explained

Importance of dot product in machine learning

Algorithms in Amazon SageMaker AI