LoRA is widely used for fine-tuning large models because it’s efficient, but it quietly assumes that all updates to a […]
Category: Big Data
How to Build Smarter Multilingual Text Wrapping with BudouX Through Parsing, HTML Rendering, Model Introspection, and Toy Training
In this tutorial, we explore how we use BudouX to bring intelligent, phrase-aware line breaking to languages where whitespace is […]
A Coding Tutorial on Datashader on Rendering Massive Datasets with High-Performance Python Visual Analytics
In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting […]
An Implementation Guide to Building a DuckDB-Python Analytics Pipeline with SQL, DataFrames, Parquet, UDFs, and Performance Profiling
In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on […]
A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the […]
Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression
At first glance, adding more features to a model seems like an obvious way to improve performance. If a model […]
![Why the right data foundation is essential to unlock AI potential [Q&A]](https://thetechbriefs.com/wp-content/uploads/2026/02/115428-why-the-right-data-foundation-is-essential-to-unlock-ai-potential-qa.jpg)
Why the right data foundation is essential to unlock AI potential [Q&A]
As AI use continues to grow it’s becoming increasingly clear that the real competitive advantage isn’t just in the models, […]
How to Build an Advanced, Interactive Exploratory Data Analysis Workflow Using PyGWalker and Feature-Engineered Data
In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis […]
‘Data activation gap’ is holding back enterprise decision making
Businesses rely on data, but it’s only of use if it can be accessed when and where it’s needed. A […]
How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and […]