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A Python Tool for Fetching Air Pollution Data from Google Maps Air Quality APIs

Learn how to fetch rich, real time air quality data from all over the world This article details how we can use the Google Maps Air Quality APIs in Python to fetch and explore live air pollution data, time series and

Identifying Topical Hot Spots in Urban Areas

Hipster Hot-Spots in Budapest. A generic framework using OpenStreetMap and DBSCAN Spatial Clustering to Capture the most hyped urban areas In this article, I show a quick and easy-to-use methodology that is capable of identifying hot spots for a given interest

Carbon Emissions of an ML Engineering Team

The hidden cost of development that really matter Continue reading on Towards Data Science »

Embracing Julia: An Invitation Letter

Warmly Extended to Python Lovers, Scientific Computing Wizards and Data Scientists Julia is a general-purpose, dynamic, high-performance and high-level programming language that is just-in-time compiled. It’s a fairly recent language with its major 1.0 release rolled out only in 2018.

Mastering the Future: Evaluating LLM-Generated Data Architectures leveraging IaC technologies

Evaluate the suitability of LLMs for the generation of Infrastructure as Code to provision, configure, and deploy modern applications Photo by ZHENYU LUO on Unsplash Introduction In this article, we address the suitability of LLMs to leverage the lifecycle of real

Transforming text into vectors: TSDAE’s unsupervised approach to enhanced embeddings

Designed by Freepik Combine TSDAE pre-training on a target domain with supervised fine-tuning on a general-purpose corpus to enhance the quality of the embeddings for a specialized domain. Introduction Embeddings encode text into high dimensional vector spaces, using dense vectors to

What are Multimodal models?

Give LLMs the ability to see! Continue reading on Towards Data Science »