Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn how to harness AI agents to add column descriptions and metadata to your Excel files,…

Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies, while adhering to legal requirements on minimum distance between establishments, using geospatial…

Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation into an architectural risk.

A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy.

New data flavors require new ways for storing it! Learn everything you need to know about the Parquet file format

Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an efficient solution by reducing storage overhead and improving system…

A comprehensive guide to the books and courses that helped me learn AI

Try this tutorial to predict and visualize daily Wikipedia data using InfluxDB’s Python Processing Engine and Facebook’s Prophet library.

Through partnerships with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.

An LLM in 2018 would not have trivialized a complex project, although it could have enhanced the final solution

Three cases to use the Sphinx tool as a pro The post Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project appeared first on Towards Data Science. Generated by RSStT.…

Simple concepts that differentiate a professional from amateurs.

Creating multi-agent apps is simple with this open-source SDK, and it can be used with any OpenAI-compatible LLM The post Build Multi-Agent Apps with OpenAI’s Agent SDK appeared first on Towards Data…

Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for linear problems.

A deep dive into how post-processing can supercharge synthetic data generation The post How I Won the “Mostly AI” Synthetic Data Challenge appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results The post Fine-Tune Your Topic Modeling Workflow with BERTopic appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original…

How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science. Generated by RSStT. The copyright belongs…

Embrace your inner software developer The post Reducing Time to Value for Data Science Projects: Part 4 appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Early-adopter realities gathered from real data mesh implementations The post Data Mesh Diaries: Realities from Early Adopters appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

A beginner-friendly introduction to LLM-as-a-Judge The post How to Use LLMs for Powerful Automatic Evaluations appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source