📌 How I Built a Real-Time Weather Data Pipeline Using AWS-Entirely Serverless

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-02 | ⏱️ Read time: 8 min read

A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insights

📌 How to Process 10k Images in Seconds

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read

Efficient image operations with multiprocessing in Python

📌 5 Simple Projects to Start Today: A Learning Roadmap for Data Engineering

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-02 | ⏱️ Read time: 11 min read

Start with 5 practical projects to lay the foundation for your data engineering roadmap.

📌 Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 12 min read

Full explanation on Linear Regression and how it learns

📌 AI-Powered Information Extraction and Matchmaking

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 34 min read

Developing an application for extracting key profile information from CVs and recommending jobs aligned with…

📌 Scaling Statistics: Incremental Standard Deviation in SQL with dbt

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 7 min read

Why scan yesterday’s data when you can increment today’s?

📌 Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data – Part 2

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-01 | ⏱️ Read time: 26 min read

How to use Color Image data for object detection in the context of obstacle detection

📌 Transforming Data into Solutions: Building a Smart App with Python and AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read

Some financial analysts worry that artificial intelligence may not justify the massive investments being made…

📌 Chi-Squared Test: Comparing Variations Through Soccer

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read

Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)

📌 Multi-Agentic RAG with Hugging Face Code Agents

🗂 Category:

🕒 Date: 2024-12-31 | ⏱️ Read time: 80 min read

Using Qwen2.5-7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system

📌 Top 12 Skills Data Scientists Need to Succeed in 2025

🗂 Category: CAREER ADVICE

🕒 Date: 2024-12-31 | ⏱️ Read time: 27 min read

It’s (not) all about LLMs and AI tools

📌 Creating SMOTE Oversampling from Scratch

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-31 | ⏱️ Read time: 8 min read

A Python tutorial on how to implement oversampling and how to make custom variations

📌 The Math Behind In-Context Learning

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-12-31 | ⏱️ Read time: 6 min read

From attention to gradient descent: unraveling how transformers learn from examples

📌 The Key to Smarter Models: Tracking Feature Histories

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-31 | ⏱️ Read time: 10 min read

Capture context and improve predictions with historical data

📌 From Default Python Line Chart to Journal-Quality Infographics

🗂 Category: ANALYTICS

🕒 Date: 2024-12-30 | ⏱️ Read time: 3 min read

Transform boring default Matplotlib line charts into stunning, customized visualizations

📌 Mastering Model Uncertainty: Thresholding Techniques in Deep Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read

A few words on thresholding, the softmax activation function, introducing an extra label, and considerations…

📌 How to Build a Resume Optimizer with AI

🗂 Category:

🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read

Step-by-step guide with example Python code

📌 How to Build a Graph RAG App

🗂 Category:

🕒 Date: 2024-12-30 | ⏱️ Read time: 30 min read

The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language…

📌 I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

🗂 Category: BLOCKCHAIN

🕒 Date: 2024-12-30 | ⏱️ Read time: 8 min read

Using LLMs to create artistic representations of data

📌 Introducing n-Step Temporal-Difference Methods

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-29 | ⏱️ Read time: 10 min read

Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V

📌 Superposition: What Makes it Difficult to Explain Neural Network

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-29 | ⏱️ Read time: 7 min read

When there are more features than model dimensions