A practical onboarding checklist for building trust, business fluency, and data intuition
The post Your First 90 Days as a Data Scientist appeared first on Towards Data Science.
Stephanie Kirmer on the $200 billion investment bubble, how AI companies can rebuild trust, and how her day-to-day work changed with the rise of LLMs.
The post The Evolving Role of the ML Engineer appeared first on Towards Data Science.
Building an AI Agent to Detect and Handle Anomalies in Time-Series Data
Combining statistical detection with agentic decision-making
The post Building an AI Agent to Detect and Handle Anomalies in Time-Series Data appeared first on Towards Data Science.
An easy step-by-step guide to building the snake game from scratch
The post Implementing the Snake Game in Python appeared first on Towards Data Science.
The Death of the “Everything Prompt”: Google’s Move Toward Structured AI
How the new Interactions API enables deep-reasoning, stateful, agentic workflows.
The post The Death of the “Everything Prompt”: Google’s Move Toward Structured AI appeared first on Towards Data Science.
Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes
How much of your AI agent's output is real data versus confident guesswork?
The post Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes appeared first on Towards Data Science.
Mechanistic Interpretability: Peeking Inside an LLM
Are the human-like cognitive abilities of LLMs real or fake? How does information travel through the neural network? Is there hidden knowledge inside an LLM?
The post Mechanistic Interpretability: Peeking Inside an LLM appeared first on Towards Data Science.
Plan–Code–Execute: Designing Agents That Create Their Own Tools
The case against pre-built tools in Agentic Architectures
The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science.
Routing in a Sparse Graph: a Distributed Q-Learning Approach
Distributed agents need only decide one move ahead.
The post Routing in a Sparse Graph: a Distributed Q-Learning Approach appeared first on Towards Data Science.
Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to stay competitive.
The post Building Systems That Survive Real Life appeared first on Towards Data Science.
TDS Newsletter: January Must-Reads on Data Platforms, Infinite Context, and More
Don't miss our most-read and -shared stories of the past month
The post TDS Newsletter: January Must-Reads on Data Platforms, Infinite Context, and More appeared first on Towards Data Science.
Federated Learning, Part 2: Implementation with the Flower Framework 🌼
Implementing cross-silo federated learning step by step
The post Federated Learning, Part 2: Implementation with the Flower Framework 🌼 appeared first on Towards Data Science.
I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)
A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe
The post I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python) appeared first on Towards Data Science.
Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning
Estimating neighborhood-level pedestrian risk from real-world incident data
The post Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning appeared first on Towards Data Science.
Going Beyond the Context Window: Recursive Language Models in Action
Explore a practical approach to analysing massive datasets with LLMs
The post Going Beyond the Context Window: Recursive Language Models in Action appeared first on Towards Data Science.
Layered Architecture for Building Readable, Robust, and Extensible Apps
If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs, it’s structure. This article shows how better architecture reduces risk, speeds up change, and keeps teams moving.
The post Layered Architecture for Building Readable, Robust, and Extensible Apps appeared fir...
Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents
The post How Cursor Actually Indexes Your Codebase appeared first on Towards Data Science.
Optimizing Data Transfer in Distributed AI/ML Training Workloads
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 3
The post Optimizing Data Transfer in Distributed AI/ML Training Workloads appeared first on Towards Data Science.
Achieving 5x Agentic Coding Performance with Few-Shot Prompting
Learn to leverage few-shot prompting to increase your LLMs performance
The post Achieving 5x Agentic Coding Performance with Few-Shot Prompting appeared first on Towards Data Science.
TDS Newsletter: Beyond Prompt Engineering: The New Frontiers of LLM Optimization
Let's zoom in on recent approaches that push AI-powered workflows to the next level
The post TDS Newsletter: Beyond Prompt Engineering: The New Frontiers of LLM Optimization appeared first on Towards Data Science.
Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird delimiters.
The post Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors appeared first on Towards Data Science.
Using Local LLMs to Discover High-Performance Algorithms
How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs.
The post Using Local LLMs to Discover High-Performance Algorithms appeared first on Towards Data Science.
Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
Why modeling SKUs as a network reveals what traditional forecasts miss
The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science.