About Abhinav Sagar

Abhinav Sagar is a Machine Learning Researcher at VIT Vellore. His research areas are bayesian deep learning, generative models, variational inference etc on the theoretical side and medical imaging, autonomous driving etc on the application side. More broadly, he is interested in deep learning and computer vision with a bayesian approach taking uncertainty into account.

Abhinav Sagar Posts (10)

• Deep Learning for Detecting Pneumonia from X-ray Images - 05 Jun 2020
  
  This article covers an end to end pipeline for pneumonia detection from X-ray images.
• 10 Python Tips and Tricks You Should Learn Today - 08 Jan 2020
  
  Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.
• Random Forest® vs Neural Networks for Predicting Customer Churn - 26 Dec 2019
  
  Let us see how random forest competes with neural networks for solving a real world business problem.
• Pedestrian Detection Using Non Maximum Suppression Algorithm - 17 Dec 2019
  
  Read this overview of a complete pipeline for detecting pedestrians on the road.
• 5 Techniques to Prevent Overfitting in Neural Networks - 06 Dec 2019
  
  In this article, I will present five techniques to prevent overfitting while training neural networks.
• Deep Learning for Image Classification with Less Data - 20 Nov 2019
  
  In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.
• Customer Segmentation Using K Means Clustering - 04 Nov 2019
  
  Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.
• How to Build Your Own Logistic Regression Model in Python - 31 Oct 2019
  
  A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.
• Convolutional Neural Network for Breast Cancer Classification - 24 Oct 2019
  
  See how Deep Learning can help in solving one of the most commonly diagnosed cancer in women.
• How to Easily Deploy Machine Learning Models Using Flask - 17 Oct 2019
  
  This post aims to make you get started with putting your trained machine learning models into production using Flask API.