Deployment, observability, evaluation, infrastructure, and operations.
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, Agentic AI, #datascience research for solving real world problems using…
I am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn apply. Data is issue but #synthetic distribution generation…
Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank Forecasts This algorithm was published earlier. Sharing it…
This article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and data used are given in github. Note –…
This article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how to test and compare multiple classification algorithms at…
This article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how to test and compare multiple regression algorithms at…
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is to show how to perform different NLP (Natural…
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than…
Computer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset for training its model Logic: The OpenCV library…
Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building ML/AI/DL models is availability of good, clean, relevant…
USDA (United States Department of Agriculture) has published a series of articles and documents on how it plans to use AI to create the next generation agriculture food…
This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and ensemble algorithms like Random Forest and…
