An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI
The guide to automated improvement of scientific and industrial repositories using open-source AI agents
The post An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI appeared first on Towards Data Science.
A pragmatic journey using website analytics as a real-world example
The post From Monolith to Contract-Driven Data Mesh appeared first on Towards Data Science.
Understanding the Chi-Square Test Beyond the Formula
How categorical data becomes statistical evidence.
The post Understanding the Chi-Square Test Beyond the Formula appeared first on Towards Data Science.
A deep dive into the hardware infrastructure that enables multi-GPU communication for AI workloads
The post AI in Multiple GPUs: How GPUs Communicate appeared first on Towards Data Science.
Top 10 Made-in-India AI Products Shown at AI Impact Expo 2026
When it comes to new-age technology, India has historically been at the forefront of several eras seen by human civilisation. Following suit, the nation is now stepping up in the age of Artificial Intelligence. A big proof is the ongoing AI Impact Expo 2026 in Delhi. The event has delegates and comp...
Why Every Analytics Engineer Needs to Understand Data Architecture
Get the data architecture right, and everything else becomes easier.
I know it sounds simple, but in reality, little nuances in designing your data architecture may have costly implications. This article provides a crash course on the architectures that shape your daily decisions - from relational d...
Code reviews shouldn’t be a bottleneck. The best AI code review tools now catch bugs, anti-patterns, security flaws, and more in seconds before they ever hit production.
Top 10 No-Code Development Platforms to Launch Apps and Automate Work
No-code platforms are quietly changing who gets to build software. You no longer need to be an engineer to create apps, automate workflows, or launch products. The barrier isn’t technical skill anymore. It’s knowing where to start. This article brings together some of the best no-code platforms avai...
Two years ago, AI could autocomplete your sentence. Today, it writes production code, drafts legal contracts, generates photorealistic images, builds entire apps, and debates philosophy. Generative AI is not just another tech trend. It is a platform shift. The internet changed how we access informat...
LLM Embeddings vs TF-IDF vs Bag-of-Words: Which Works Better in Scikit-learn?
Machine learning models built with frameworks like scikit-learn can accommodate unstructured data like text, as long as this raw text is converted into a numerical representation that is understandable by algorithms, models, and machines in a broader sense.
A beginner’s guide to Tmux: a multitasking superpower for your terminal
One of the new things I’ve come across recently, while researching command-line-based coding assistants, is the mention and use of a tool I hadn’t heard of before. That tool is called Tmux, which stands for Terminal Multiplexer. In the simplest possible terms, Tmux allows you to split up a single t...
PyCaret Tutorial: Beginner’s Guide to Automating ML Workflows
PyCaret is an open-source, low-code machine learning library that simplifies and standardizes the end-to-end machine learning workflow. Instead of acting as a single AutoML algorithm, PyCaret functions as an experiment framework that wraps many popular machine learning libraries under a consistent a...
Suppose you want to locate a particular piece of information in a library that is the size of a city. This is a predicament that businesses have to deal with on a daily basis regarding their electronic data. They contain giant quantities of logs, documents, and user actions. Locating what is importa...
Building Vertex AI Search Applications: A Comprehensive Guide
This guide explores the essential components, implementation strategies, and best practices for building production-ready search applications using Vertex AI Search and AI Applications.
AI in Multiple GPUs: Point-to-Point and Collective Operations
Learn PyTorch distributed operations for multi GPU AI workloads
The post AI in Multiple GPUs: Point-to-Point and Collective Operations appeared first on Towards Data Science.
You type in a lengthy prompt, well over 500 words, or even 1000 words. It structures everything perfectly. Explains in detail what is to be done, right down to the finer details of each step. And you press enter. Your AI chatbot starts off strong, following every instruction from the top, then trail...
Guide to Build a Data Analysis & Visualization Agent Using Swarm Architecture
Swarm architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by natural swarms, it pairs a Data Analyst agent for processing with a Visualization agent for chart creation, coordinated to deliver clearer and more efficient insights. This collabora...
How to Leverage Explainable AI for Better Business Decisions
Moving beyond the black box to turn complex model outputs into actionable organizational strategies.
The post How to Leverage Explainable AI for Better Business Decisions appeared first on Towards Data Science.