Data Science – Page 2 – The TechBriefs

How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra?

In this tutorial, we explore Hydra, an advanced configuration management framework originally developed and open-sourced by Meta Research. We begin […]

How to Build Supervised AI Models When You Don’t Have Annotated Data

One of the biggest challenges in real-world machine learning is that supervised models require labeled data—yet in many practical scenarios, […]

How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySpark

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by […]

How to Build a Fully Interactive, Real-Time Visualization Dashboard Using Bokeh and Custom JavaScript?

In this tutorial, we create a fully interactive, visually compelling data visualization dashboard using Bokeh. We start by turning raw […]

A Coding Implementation to Build a Unified Tool Orchestration Framework from Documentation to Automated Pipelines

In this tutorial, we build a compact, efficient framework that demonstrates how to convert tool documentation into standardized, callable interfaces, […]

A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning

In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a […]

Huawei CloudMatrix: A Peer-to-Peer AI Datacenter Architecture for Scalable and Efficient LLM Serving

LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and massive context lengths. Models like […]