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Akash Agnihotri
Akash Agnihotri

88 Followers

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Published in Towards Data Science

·Pinned

Implementing Deep Convolutional GAN

According to the New York Times, 90% of the energy used by data centers is wasted, this is because most of the data collected by companies is never analyzed or used in any form whatsoever, this is more specifically called Dark Data. Dark data is data which is acquired through…

Gans

8 min read

Implementing Deep Convolutional GAN
Implementing Deep Convolutional GAN
Gans

8 min read


Pinned

Reproducibility in Machine Learning

“Any device which takes an input and produces an (exact) output is a machine” — this has been the rough definition of any machine for a long time, but machine learning solutions have put it into question inside the industry when it comes to implementation. …

Machine Learning

6 min read

Reproducibility in Machine Learning
Reproducibility in Machine Learning
Machine Learning

6 min read


Published in Towards Data Science

·Pinned

Attending to Attention

A summary of a revolutionary paper “Attention is All You Need” and Implementing the Transformer using PyTorch — I have been a Machine Learning Engineer for almost 4 years now, I started with what is now called the “Classical Models”, Logistic, Tree-based, Baysian, etc, and since last year has moved into Neural Networks and Deep Learning. I would say I did pretty well, that was until my attention…

Machine Learning

7 min read

Attending to Attention
Attending to Attention
Machine Learning

7 min read


Published in Towards Data Science

·Pinned

Presenting Machine Learning Model Results as Business Insights

How to present machine learning model performance as actionable insights to Business. — Machine Learning and Deep Learning have been some of the most revolutionary technologies of our generation and have the potential to radically redefine our way of life. …

Machine Learning

5 min read

Presenting Machine Learning Model Results as Business Insights
Presenting Machine Learning Model Results as Business Insights
Machine Learning

5 min read


May 18, 2022

Design Ideas for Frustrated ML Engineers

Simple ideas to solve complex problems. — “I like these calm little moments before the storm. It reminds me of Beethoven.” — Gary Oldman in Léon: The Professional. This is how I feel every time one of the data science teams comes up with another brilliant idea to solve a problem with ML, cause it means long…

Machine Learning

5 min read

Design Ideas for Frustrated ML Engineers
Design Ideas for Frustrated ML Engineers
Machine Learning

5 min read


Published in Towards Data Science

·Jun 18, 2021

Implementing Real-time Object Detection System using PyTorch and OpenCV

Hands-On Guide to implement real-time object detection system using python — The Self-Driving car might still be having difficulties understanding the difference between humans and garbage can, but that does not take anything away from the amazing progress state-of-the-art object detection models have made in the last decade. Combine that with the image processing abilities of libraries like OpenCV, it is…

Machine Learning

7 min read

Implementing Real-time Object Detection System using PyTorch and OpenCV
Implementing Real-time Object Detection System using PyTorch and OpenCV
Machine Learning

7 min read


Published in Towards Data Science

·Jun 13, 2021

A Practical Guide To MLOps Using AWS Sagemaker — Part II

How to deploy your model using AWS lambda and REST API for the world to use. — Before we begin, I would strongly suggest you read part-1 if you have not yet done so. In this guide, we will go through how to deploy your model such that front-end developers can use it in their applications using a REST API without having to worry too much about…

Machine Learning

6 min read

A Practical Guide To MLOps Using AWS Sagemaker — Part II
A Practical Guide To MLOps Using AWS Sagemaker — Part II
Machine Learning

6 min read


Jun 10, 2021

A Bachelor’s Guide on Work from Home

How I stopped worrying and started separating my work from my home during work from home. I know what you are thinking, “another work from home guide” but bear with me for just a minute, I promise this will differ. …

Work From Home

4 min read

A Bachelor’s Guide on Work from Home
A Bachelor’s Guide on Work from Home
Work From Home

4 min read


Published in Towards Data Science

·Jun 3, 2021

A Practical Guide to MLOps in AWS Sagemaker — Part I

How to implement a CI/CD model development and evaluation pipeline in AWS Sagemaker. — This guide results from my own frustration to find a complete end-to-end work on model development, evaluation, deployment on AWS. All the guides, tutorials I saw out there only cover part of the picture and never fully connect the dots. …

Machine Learning

7 min read

A Practical Guide to MLOps in AWS Sagemaker — Part I
A Practical Guide to MLOps in AWS Sagemaker — Part I
Machine Learning

7 min read

Akash Agnihotri

Akash Agnihotri

88 Followers

Machine Learning Engineer | Builder | Dreamer | Programmer | https://www.linkedin.com/in/agni25/

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