Statistics at the Command Line for Beginner Data Scientists
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
Artificial intelligence is changing the way businesses store and access their data. That’s because traditional data storage systems were designed to handle simple commands from a handful of users at once, whereas today, AI systems with millions of agents need to continuously access and process large amounts of data in parallel. Traditional data storage systems now have layers of complexity, which slows AI systems down because data must pass through multiple tiers before reaching the graphical processing units […]
The behaviors that get you promoted The post How to Climb the Hidden Career Ladder of Data Science appeared first on Towards Data Science.
Key Highlights: After a successful launch of the Gemini 3 Pro-powered Nano Banana Pro, Google appears to be gearing up for the launch of Nano Banana 2 Flash. The upcoming image generation model will likely be powered by the Gemini 3 Flash model. According to code references, the new model is internally called “Mayo.” Nano Banana 2 Flash to come with almost similar image generation power as the “Pro” Citing details shared by early testers of Nano Banana […]
There are some jobs human bodies just weren’t meant to do. Unloading trucks and shipping containers is a repetitive, grueling task — and a big reason warehouse injury rates are more than twice the national average. The Pickle Robot Company wants its machines to do the heavy lifting. The company’s one-armed robots autonomously unload trailers, picking up boxes weighing up to 50 pounds and placing them onto onboard conveyor belts for warehouses of all types. The company name, […]
How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel appeared first on Towards Data Science.
A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding than supervised learning The post Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem appeared first on Towards Data Science.
Artificial intelligence optimization offers a host of benefits for mechanical engineers, including faster and more accurate designs and simulations, improved efficiency, reduced development costs through process automation, and enhanced predictive maintenance and quality control. “When people think about mechanical engineering, they’re thinking about basic mechanical tools like hammers and … hardware like cars, robots, cranes, but mechanical engineering is very broad,” says Faez Ahmed, the Doherty Chair in Ocean Utilization and associate professor of mechanical engineering at MIT. “Within mechanical […]
Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, then tells you “Task completed!” Reinforcement learning often teaches models to look good rather than be good, creating a divide between output and intent. Source: Gemini Nano Banana ProThis article discusses the challenges of reward hacking […]
On the challenges of producing reliable insights and avoiding common mistakes The post TDS Newsletter: How to Design Evals, Metrics, and KPIs That Work appeared first on Towards Data Science.