Machine Learning Archives

Artificial Intelligence, Machine Learning, Natural Language Processing

Building an AI-Powered Image Generation App Using Stable Diffusion

Posted on December 17, 2024 by Rupendra Choudhary

In this tutorial, I’ll walk you through building an AI-powered image generation application that uses Stable Diffusion for creating images based on user prompts. By leveraging Google Colab’s free GPU, we’ll use Stable Diffusion to perform the heavy computations and then connect it to a Flask w...

Application, Machine Learning, Natural Language Processing

Building a Powerful QA System with RAG Pipeline: A Step-by-Step Guide

Posted on December 14, 2024 by Rupendra Choudhary

Retrieval-Augmented Generation (RAG) pipelines are transforming the way we handle complex question-answering tasks. By combining the precision of information retrieval with the creativity of natural language generation, these systems can deliver contextually accurate answers from large collections o...

How to deploy AI model efficiently on Google Cloud Platform (GCP) IN 2025

Artificial Intelligence, Machine Learning

How to deploy AI model efficiently on GCP in 2025

Posted on November 4, 2024 by Sandeep Kumar

After developing an AI model, the last step consists of deploying your AI model on your preferred cloud platform. Once you deploy your AI model, it will be moved from the research environment and integrated into the production environment as a live AI application. Therefore, the best AI development ...

Navigating the Future: Accounting Firms Embrace Blockchain and AI

Posted on October 15, 2024 by Sandeep Kumar

In an era where technology reigns supreme, the domain of accounting is undergoing a significant transformation. The emergence of blockchain and artificial intelligence (AI) is not just a trend; it’s a paradigm shift that offers substantial benefits and new opportunities. This evolution is part...

Machine Learning

How to Generate Synthetic Tabular Data using GAN?

Posted on March 9, 2023 by Sandeep Kumar

Researchers and data scientists are employing synthetic data to create new products, improve machine learning model performance, substitute sensitive data, and save money on data acquisition expenditures. In this article, we will see how to generate synthetic tabular data using GANs. What is CTGAN? ...

Machine Learning

What are the metrices to compare Synthetic Data with Original Data?

Posted on March 5, 2023 by Sandeep Kumar

Information that has been created intentionally rather than as a result of actual occurrences is known as synthetic data. Synthetic data is generated algorithmically and is used to train machine learning models, verify mathematical models, and act as a stand-in for test datasets of production or ope...

Machine Learning

Problems with Synthetic Data

Posted on March 1, 2023 by Sandeep Kumar

Introduction Data scientists all across the world are hungry for it. The ambition to train and deploy cutting-edge machine learning algorithms such as neural networks raise the bar for additional data. This rapidly becomes an issue when gathering fresh data is time-consuming, expensive, or just impo...

Machine Learning

Synthetic Data Vault – A framework to generate Synthetic Data

Posted on February 25, 2023 by Sandeep Kumar

In this article, we will look at the Synthetic Data Vault – A Framework to generate Synthetic Data. Introduction The Synthetic Data Vault (SDV) is a library ecosystem that allows users to rapidly study single-table, multi-table, and timeseries datasets in order to produce new Synthetic Data with t...

Machine Learning

Synthetic Test Data Vs. Data Masking

Posted on February 21, 2023 by Sandeep Kumar

Using actual production data in a test environment was once a no-brainer for most engineers. However, in the aftermath of privacy legislation such as GDPR, it is simply no longer an option. You can’t take those kinds of risks with actual people’s data – and if you do, you’ll ...

Machine Learning

The Advantages of Synthetic Data over Real Data

Posted on February 17, 2023 by Sandeep Kumar

Introduction In 2020, artificial intelligence is all the rage, but many aspiring engineers are bumping across a stumbling block: training data. Most artificial intelligence/machine learning applications require a big, vetted dataset. Obtaining that data is frequently difficult. You must not only col...