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Georgian Impact Blog

A blog focused on machine learning and artificial intelligence from the Georgian R&D team

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Artificial Intelligence

Georgian in Georgian Impact Blog

Apr 5, 2023

Driving efficiencies in your AI process

by Akshay Budhkar and Parinaz Sobhani

Georgian in Georgian Impact Blog

Aug 14, 2019

Enhancing the Tools for Differential Privacy in Google’s TensorFlow

Georgian in Georgian Impact Blog

May 24, 2019

Our Five Favorite Papers from ICLR 2019

by Akshay Budhkar

azin asgarian in Georgian Impact Blog

Dec 13, 2018

Transfer Learning — part 1

In this post, we first give a brief overview of Transfer Learning and then…

3 responses

Georgian in Georgian Impact Blog

Aug 31, 2018

A Brief Introduction to Differential Privacy

Aaruran Elamurugaiyan

Privacy can be quantified. Better yet, we can rank privacy-preserving strategies and say which one is more effective. Better still, we can design strategies that are robust even against hackers that have…

5 responses

Georgian in Georgian Impact Blog

Aug 21, 2018

Choosing the best AutoML Framework

A head to head comparison of four automatic machine learning frameworks on 87 datasets.

Adithya Balaji and Alexander Allen

Introduction

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Getting started with Generative AI: 4 ways to customize your models

Agile AI at Georgian Part 5: A Roundup of our Favorite MLOps Tools

AI at Georgian — Part 1: Finding Your Project’s North Star

Seven Principles of Building Fair Machine Learning Systems

Driving efficiencies in your AI process

Enhancing the Tools for Differential Privacy in Google’s TensorFlow

Our Five Favorite Papers from ICLR 2019

Transfer Learning — part 1

In this post, we first give a brief overview of Transfer Learning and then…

A Brief Introduction to Differential Privacy

Choosing the best AutoML Framework

A head to head comparison of four automatic machine learning frameworks on 87 datasets.

Introduction