📌 Learning Triton One Kernel At a Time: Vector Addition

🗂 Category: DEEP LEARNING

🕒 Date: 2025-09-27 | ⏱️ Read time: 9 min read

The basics of GPU programming, optimisation, and your first Triton kernel

📌 What Clients Really Ask for in AI Projects

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-27 | ⏱️ Read time: 7 min read

Managing AI projects is no walk in the park, but you have the power to…

📌 5 Amazing Plugins for an Eye-Catching Visual Studio Code UI

🗂 Category: PROGRAMMING

🕒 Date: 2024-10-05 | ⏱️ Read time: 7 min read

Make your code shine by transforming the IDE into a stunning coding environment

📌 AI-Powered Corrosion Detection for Industrial Equipment: A Scalable Approach with AWS

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-05 | ⏱️ Read time: 6 min read

A Complete AWS ML Solution with SageMaker, Lambda, and API Gateway

📌 Making Text Data AI-Ready

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-04 | ⏱️ Read time: 8 min read

An introduction using no-code solutions

📌 Prompt Caching in LLMs: Intuition

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-04 | ⏱️ Read time: 4 min read

A brief tour of how caching works in attention-based models

📌 Running visibility analysis in QGIS

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-04 | ⏱️ Read time: 10 min read

One of my all-time favourite types of spatial analysis is visibility analysis. It’s a really…

📌 Four Takeaways from a 5-Year Journey

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-04 | ⏱️ Read time: 6 min read

Navigating the post-graduation learnings

📌 Dynamic GitHub Pages – Panel (pyodide-worker)

🗂 Category: PROGRAMMING

🕒 Date: 2024-10-04 | ⏱️ Read time: 12 min read

How do you create a dynamic and client-side GitHub Pages ? The first stone in an…

📌 Advanced Techniques in Lying using Data Visualizations

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-10-04 | ⏱️ Read time: 11 min read

Discover the power of chart design to manipulate an audience, whatever the narrative

📌 Stop Guessing and Measure Your RAG System to Drive Real Improvements

🗂 Category:

🕒 Date: 2024-10-04 | ⏱️ Read time: 30 min read

Key metrics and techniques to elevate your retrieval-augmented generation performance

📌 Data Architecture: Lessons Learned

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-04 | ⏱️ Read time: 13 min read

Three important lessons I have learned on my journey as data engineer and architect

📌 What You Need to Know Before Switching to a Data Science Career in 2024

🗂 Category: CAREER ADVICE

🕒 Date: 2024-10-03 | ⏱️ Read time: 13 min read

How the market has changed (and the roadmap I’d follow if I started my journey…

📌 Who Really Owns the Airbnbs You’re Booking? – Marketing Perception vs Data Analytics Reality

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 9 min read

Over the last 20 years, Airbnb has spent billions on brand building as the authentic,…

📌 Graph RAG, Automated Prompt Engineering, Agent Frameworks, and Other September Must-Reads

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 4 min read

The stories that resonated the most with our community in the past month

📌 How to succeed with AI: Combining Kafka and AI Guardrails

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 5 min read

Why real-time data and governance are non-negotiable for AI

📌 Exploring How the New OpenAI Realtime API Simplifies Voice Agent Flows

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 9 min read

Setting up a Voice Agent using Twilio and the OpenAI Realtime API

📌 Efficient Testing of ETL Pipelines with Python

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-03 | ⏱️ Read time: 11 min read

How to Instantly Detect Data Quality Issues and Identify their Causes

📌 How to Handle Imbalanced Datasets in Machine Learning Projects

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 10 min read

Techniques to handle imbalanced datasets, examples, and Python snippets

📌 How to Calculate the Elasticity of Bids in PPC Marketing

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-03 | ⏱️ Read time: 10 min read

Elasticity of prices is the bread and butter of econometrics. But, how can we apply…