How to Learn Python for Data Science Fast in 2026 (Without Wasting Time)
What I wish I did at the beginning of my journey The post How to Learn Python for Data Science Fast in 2026 (Without Wasting Time) appeared first on Towards Data Science.
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What I wish I did at the beginning of my journey The post How to Learn Python for Data Science Fast in 2026 (Without Wasting Time) appeared first on Towards Data Science.
Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of The post AI Agents Need Their Own Desk, and Git Worktrees Give Them One appeared first on Towards Data Science.
Your RAG system is retrieving the right documents with perfect scores — yet it still confidently returns the wrong answer. The post Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It). appeared first on Towards Data Science.
New data from Appfigures shows a swell of new app launches in 2026, suggesting AI tools could be fueling a mobile software boom.
Despite recently being designated a supply-chain risk by the Pentagon, Anthropic is still talking to high-level members of the Trump administration.
In recent months, the company announced an agreement with Amazon Web Services to use Cerebras chips in Amazon data centers, as well as a deal with OpenAI reportedly worth more than $10 billion.
The company now offers robotaxi service in three cities, all of them in Texas, after launching in Austin last year and starting to offer rides without safety drivers in January 2026.
Machine learning models can be confident even when they shouldn't be. This article introduces Deep Evidential Regression (DER), a method that lets neural networks rapidly express what they don't know. The post Introduction to Deep Evidential Regression for Uncertainty Quantification appeared first o
The problem with agent memory today The post memweave: Zero-Infra AI Agent Memory with Markdown and SQLite — No Vector Database Required appeared first on Towards Data Science.
Building a personal AI assistant is rarely a single, monolithic effort. In this piece, I walk through my latest addition: a task breaker module that decomposes complex goals into structured, actionable steps — and why that single component changed how I think about AI-driven productivity. The post B
The upstream decision no model, or LLM can fix once you get it wrong The post Your Chunks Failed Your RAG in Production appeared first on Towards Data Science.
Inside MareNostrum V: SLURM schedulers, fat-tree topologies, and scaling pipelines across 8,000 nodes in a 19th-century chapel The post What It Actually Takes to Run Code on 200M€ Supercomputer appeared first on Towards Data Science.
Architectures, pitfalls, and patterns that work The post A Practical Guide to Memory for Autonomous LLM Agents appeared first on Towards Data Science.
From rank-stabilized scaling to quantization stability: A statistical and architectural deep dive into the optimizations powering modern Transformers. The post 6 Things I Learned Building LLMs From Scratch That No Tutorial Teaches You appeared first on Towards Data Science.
What if an unsupervised model could become a strong classifier with only a handful of labels? The post You Don’t Need Many Labels to Learn appeared first on Towards Data Science.
How I turned my eight-year weekly visualization habit into a reusable AI workflow The post Beyond Prompting: Using Agent Skills in Data Science appeared first on Towards Data Science.
Starting April 19, the price of the Meta Quest 3S (128GB) and Meta Quest 3S (256GB) will go up by $50 to $349.99 and $449.99, respectively. The price of the Meta Quest 3 is going up by $100 to $599.99.
Runway’s CEO says AI could help studios make dozens of films for the cost of one, betting volume will boost hit-making odds.
Google blocked 8.3 billion ads in 2025 but suspended fewer advertisers.
The new tools are designed to help creators throughout the entire development process.