A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of modern deep learning models
The post Optimizing Deep Learning Models with SAM appeared first on Towards Data Science.
Lag Features and Rolling Features in Feature Engineering
The success of machine learning pipelines depends on feature engineering as their essential foundation. The two strongest methods for handling time series data are lag features and rolling features, according to your advanced techniques. The ability to use these techniques will enhance your model pe...
AI has quietly created a new category of high-paying jobs. Not just for engineers, but for people who know how to use it well. These are real roles, hired by companies like Google, OpenAI, Microsoft, and fast-growing startups. None of them require you to write code. What matters is how well you can ...
Inside the research that shows algorithmic price-fixing isn't a bug in the code. It's a feature of the math.
The post AI Bots Formed a Cartel. No One Told Them To. appeared first on Towards Data Science.
Use Claude Code to quickly build completely personalized applications
The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science.
Who has ever had a great idea about an application, only to be confronted with the reality of the development dread, which may take weeks, or even months. The path between the idea and a working product can be tiresome. Imagine that you could fit that whole procedure into the amount of time you spen...
Data Storytelling using AI: 5 Techniques to Present AI-Generated Insights
AI can generate insights faster than any analyst ever could. But speed isn’t the problem anymore. The real problem is value. In 2026, the gap isn’t between companies that use AI and those that don’t. It’s between those who can explain AI-generated insights clearly and those who just copy-paste model...
5 Essential Design Patterns for Building Robust Agentic AI Systems
Build robust AI agents with design patterns for ReAct loops, multi-agent workflows, and state management essential for moving from prototype to reliable production.
Prompt Repetition: The Overlooked Hack for Better LLM Results
Have you ever asked an LLM a question, changed the wording a few times, and still felt the answer wasn’t quite right? If you’ve worked with tools like ChatGPT or Gemini, you’ve probably rewritten prompts, added more context, or used phrases like “be concise” or “think step by step” to improve result...
The Reality of Vibe Coding: AI Agents and the Security Debt Crisis
Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it.
The post The Reality of Vibe Coding: AI Agents and the Security Debt Crisis appeared first on Towards Data Science.
Multi-tenancy, scheduling, and cost modeling on Kubernetes
The post Architecting GPUaaS for Enterprise AI On-Prem appeared first on Towards Data Science.
Building a Self-Improving AI Support Agent with Langfuse
Building an LLM prototype is quick. A few lines of Python, a prompt, and it works. But Production is a different game altogether. You start seeing vague answers, hallucinations, latency spikes, and strange failures where the model clearly “knows” something but still gets it wrong. Since everything r...
Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI
Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, pl...
The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents
AI can write the code, but you have to steer the ship. Master the knowledge to keep you relevant in the age of AI.
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FastMCP: The Pythonic Way to Build MCP Servers and Clients
Learn how to build MCP servers and clients using FastMCP, which is comprehensive, complete with error handling, best practices, and deployment strategies, making it ideal for both beginners and intermediate developers.
Building Production-Ready AI Agents with Agent Development Kit
ADK from Google addresses a critical gap in the agentic AI ecosystem by providing a framework that simplifies the construction and deployment of multi-agent systems. Learn more.
DBMS Data Models Explained: Types, Abstraction Levels, and SQL Examples
Modern applications rely on structured storage systems that can scale, stay reliable, and keep data consistent. At the heart of all of it sits the data model. It defines how information is organized, stored, and retrieved. Get the model wrong and performance suffers, integrity breaks down, and futur...
AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving
All you need to know about Chain of Causation reasoning and the current state of Autonomous Driving!
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Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.