Аналитика и данные

• Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
  The silent driver of decisions: Why mid-market companies need AI governance now, not after a crisis.
  2026-04-13T19:34:17Z
• Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
  From confusion to clarity: Using a decision tree to assess whether unusual trading activity truly matters.
  2026-04-13T19:16:00Z
• AI Agent Trends Shaping Data-Driven Businesses
  Smarter decisions, faster execution: How AI agents are redefining what data-driven businesses can achieve.
  2026-04-13T19:04:18Z
• Why Businesses Are Using Data to Rethink Office Operations
  Data-driven workplaces: Why smart businesses are rethinking everything from desk usage to energy consumption.
  2026-04-13T18:43:32Z
• Visual guide to Iran’s coastline and islands at the Strait of Hormuz
  For Al Jazeera, Mohamed A. Hussein and Mohammed Haddad provide a map of…Tags: Al Jazeera, Iran, Strait of Hormuz
  2026-04-13T17:35:09Z
• How to Apply Claude Code to Non-technical Tasks
  Learn how to apply coding agents to all tasks on your computer The post How to Apply Claude Code to Non-technical Tasks appeared first on Towards Data Science.
  2026-04-13T16:30:00Z
• Your Model Isn’t Done: Understanding and Fixing Model Drift
  How production models fail over time, and how to catch and fix it before it breaks trust. The post Your Model Isn’t Done: Understanding and Fixing Model Drift appeared first on Towards Data Science.
  2026-04-13T15:00:00Z
• Top 10 Gemma 4 Projects That Will Blow Your Mind
  Google, my favourite tech firm for reasons exactly as this one, has done it once again. It has got the worldwide community of developers supercharged with one new product. This one is called Gemma 4. What’s the hyp…
  2026-04-13T14:50:07Z
• Range Over Depth: A Reflection on the Role of the Data Generalist
  What has changed in the past five years in the role and importance of generalists in data teams The post Range Over Depth: A Reflection on the Role of the Data Generalist appeared first on Towards Data Science.
  2026-04-13T13:30:00Z
• I Built a Tiny Computer Inside a Transformer
  By compiling a simple program directly into transformer weights. The post I Built a Tiny Computer Inside a Transformer appeared first on Towards Data Science.
  2026-04-13T12:00:00Z
• Comprehension Debt: The Hidden Cost of AI-Generated Code
  The following article originally appeared on Addy Osmani’s blog site and is being reposted here with the author’s permission. Comprehension debt is the hidden cost to human intelligence and memory resulting f…
  2026-04-13T11:11:45Z
• Days that Trump spends at his own properties
  Trump spends a lot of time at his own hotels and golf clubs.…Tags: golf, Philip Bump, properties
  2026-04-13T10:49:12Z
• How Data Analytics Helps Developers Deliver Better Tech Services
  A closer look at how developers use analytics and AI tools to improve performance, anticipate issues, and build smarter solutions for tech companies.
  2026-04-12T19:31:04Z
• Stop Treating AI Memory Like a Search Problem
  Why storing and retrieving data isn’t enough to build reliable AI memory systems The post Stop Treating AI Memory Like a Search Problem appeared first on Towards Data Science.
  2026-04-12T16:00:00Z
• Write Pandas Like a Pro With Method Chaining Pipelines
  Master method chaining, assign(), and pipe() to write cleaner, testable, production-ready Pandas code The post Write Pandas Like a Pro With Method Chaining Pipelines appeared first on Towards Data Science.
  2026-04-12T15:00:00Z
• Your ReAct Agent Is Wasting 90% of Its Retries — Here’s How to Stop It
  Most ReAct-style agents are silently wasting their retry budget on errors that can never succeed. In a 200-task benchmark, 90.8% of retries were spent on hallucinated tool calls — not model mistakes, but architectural fl…
  2026-04-12T13:00:00Z
• GLM-5.1: Architecture, Benchmarks, Capabilities & How to Use It
  Z.ai is out with its next-generation flagship AI model and has named it GLM-5.1. With its combination of extensive model size, operational efficiency, and superior reasoning functions, the model represents a major step f…
  2026-04-12T08:59:57Z
• Advanced RAG Retrieval: Cross-Encoders & Reranking
  A deep-dive and practical guide to cross-encoders, advanced techniques, and why your retrieval pipeline deserves a second pass. The post Advanced RAG Retrieval: Cross-Encoders & Reranking appeared first on Towards Da…
  2026-04-11T15:00:00Z
• Why Every AI Coding Assistant Needs a Memory Layer
  AI coding assistants need a persistent memory layer to overcome the statelessness of LLMs and improve code quality by systematically providing context across sessions. The post Why Every AI Coding Assistant Needs a Memor…
  2026-04-11T13:00:00Z
• Introduction to Reinforcement Learning Agents with the Unity Game Engine
  A step-by-step interactive guide to one of the most vexing areas of machine learning. The post Introduction to Reinforcement Learning Agents with the Unity Game Engine appeared first on Towards Data Science.
  2026-04-11T12:00:00Z
• From Karpathy’s LLM Wiki to Graphify: AI Memory Layers are Here
  Most AI workflows follow the same loop: you upload files, ask a question, get an answer, and then everything resets. Nothing sticks. For large codebases or research collections, this becomes inefficient fast. Even when y…
  2026-04-10T18:09:13Z
• When Things Get Weird with Custom Calendars in Tabular Models
  Since September 2025, we have had Calendar-based Time Intelligence in Power BI and Fabric Tabular models. While this feature offers great possibilities, we must be aware of its pitfalls. Here are some of them. The post W…
  2026-04-10T16:30:00Z
• Why MLOps Retraining Schedules Fail — Models Don’t Forget, They Get Shocked
  We fitted the Ebbinghaus forgetting curve to 555,000 real fraud transactions and got R² = −0.31 — worse than a flat line. This result explains why calendar-based retraining fails in production and introduces a practical …
  2026-04-10T15:00:00Z
• Agents don’t know what good looks like. And that’s exactly the problem.
  Luca Mezzalira, author of Building Micro-Frontends, originally shared the following article on LinkedIn. It’s being republished here with his permission. Every few years, something arrives that promises to change how we …
  2026-04-10T13:31:27Z
• A Guide to Voice Cloning on Voxtral with a Missing Encoder
  Can we reconstruct audio codes if we have audio for the Voxtral text-to-speech model? The post A Guide to Voice Cloning on Voxtral with a Missing Encoder appeared first on Towards Data Science.
  2026-04-10T13:30:00Z
• How Does AI Learn to See in 3D and Understand Space?
  How depth estimation, foundation segmentation, and geometric fusion are converging into spatial intelligence The post How Does AI Learn to See in 3D and Understand Space? appeared first on Towards Data Science.
  2026-04-10T12:00:00Z
• National park visitation and outdoor recreation data
  The National Park Service and the U.S. Bureau of Economic Analysis publishes data…Tags: Kyle Frost, outdoors, park
  2026-04-10T10:06:01Z
• 10 Most Important AI Concepts Explained Simply
  AI can feel like a maze sometimes. Everywhere you look, people on social media and in meetings are throwing around terms like LLMs, agents, and hallucinations as if it’s all obvious. But for most people, it just fe…
  2026-04-10T08:29:22Z
• A Visual Explanation of Linear Regression
  A long-form article featuring over 100 visualizations, covering a range of topics from how to build linear regression model, measure the quality and how to improve the model The post A Visual Explanation of Linear Regres…
  2026-04-09T16:30:00Z
• How Visual-Language-Action (VLA) Models Work
  The mathematical foundations of Vision-Language-Action (VLA) models for humanoid robots and more The post How Visual-Language-Action (VLA) Models Work appeared first on Towards Data Science.
  2026-04-09T15:00:00Z
• A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime
  Understand survival analysis by modeling customer retention through Kaplan-Meier curves and Cox Proportional Hazard regressions. The post A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Cust…
  2026-04-09T13:30:00Z
• Visual guide for Infinite Jest
  Infinite Jest by David Foster Wallace was published 30 years ago. To commemorate,…Tags: Christian Swinehart, Infinite Jest, literature
  2026-04-09T13:00:28Z
• Project Glasswing is World’s Most Powerful AI in Action
  We already had a hint. AI would surpass most human capabilities someday. In the field of cybersecurity, that day arrived way too early, with the recent announcement of the Mythos Preview by Claude. The new AI model promi…
  2026-04-09T12:22:22Z
• ✚ Off the axes
  This week we look for ways to diverge towards the unexpected.Tags: chess, difference, thought
  2026-04-09T12:06:08Z
• The Future of AI for Sales Is Diverse and Distributed
  True creativity and innovation will come from human-agent collaboration. One human, millions of agents. The post The Future of AI for Sales Is Diverse and Distributed appeared first on Towards Data Science.
  2026-04-09T12:00:00Z
• Architecture as Code to Teach Humans and Agents About Architecture
  A funny thing happened on the way to writing our book Architecture as Code—the entire industry shifted. Generally, we write books iteratively—starting with a seed of an idea, then developing it through workshops, confere…
  2026-04-09T11:17:33Z
• Can Data Analytics Help Investors Outperform Warren Buffett
  Exploring whether AI and financial analytics can rival one of the greatest investing track records in history
  2026-04-08T18:17:37Z
• How to Run Gemma 4 on Your Phone Without Internet: A Hands-On Guide
  Most AI tools rely on the internet, sending your prompts to remote servers for processing before returning results. This process has always been invisible to users. Google changes that with Gemma 4! Which if configured p…
  2026-04-08T17:16:49Z
• Running Gemma 4 Locally with Ollama on Your PC
  Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google&#821…
  2026-04-08T17:15:53Z
• Why AI Is Training on Its Own Garbage (and How to Fix It)
  Deep Web Data Is the Gold We Can't Touch, Yet The post Why AI Is Training on Its Own Garbage (and How to Fix It) appeared first on Towards Data Science.
  2026-04-08T16:30:00Z

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