ABOUT THIS FEED
Towards Data Science (TDS) is one of the largest AI and data science communities on Medium, hosting contributions from thousands of practitioners, researchers, and enthusiasts worldwide. Its RSS feed captures a wide variety of articles, ranging from beginner-friendly tutorials to advanced explorations of machine learning theory and real-world applications. Since content comes from a diverse group of authors, readers can expect a broad range of perspectives, tools, and case studies. TDS is particularly strong for how-to guides, coding walkthroughs, and applied AI in areas like natural language processing, computer vision, and business analytics. It also includes thought pieces on ethics, careers, and future trends. While articles vary in depth, the community format ensures a steady stream of fresh ideas. The feed is ideal for self-learners and professionals alike, offering daily inspiration and practical learning opportunities.
- Federated Learning, Part 2: Implementation with the Flower Framework š¼
Implementing cross-silo federated learning step byĀ step The post Federated Learning, Part 2: Implementation with the Flower Framework š¼ appeared first on Towards Data Science.
- Machine Learning in Production? What This Really Means
From notebooks to real-world systems The post Machine Learning in Production? What This Really Means 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 āMinority Reportā-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 MachineĀ Learning
Estimating neighborhood-level pedestrian risk from real-world incident data The post Modeling Urban Walking Risk Using Spatial-Temporal MachineĀ Learning appeared first on Towards Data Science.
- Going Beyond the Context Window: Recursive Language Models inĀ Action
Explore a practical approach to analysing massive datasets withĀ LLMs The post Going Beyond the Context Window: Recursive Language Models inĀ Action appeared first on Towards Data Science.
- Data Science as Engineering: Foundations, Education, and Professional Identity
Recognize data science as an engineering practice and structure education accordingly. The post Data Science as Engineering: Foundations, Education, and Professional Identity appeared first on Towards Data Science.
- From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting
How relationship-aware graphs turn connected forecasts into operational insight The post From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting 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 isnāt bugs, itās 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 first on Towards Data Science.
- How Cursor Actually Indexes Your Codebase
Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for codingĀ agents The post How Cursor Actually Indexes Your Codebase appeared first on Towards Data Science.
- Ray: Distributed Computing For All, Part 2
Deploying and running Python code on cloud-based clusters The post Ray: Distributed Computing For All, Part 2 appeared first on Towards Data Science.