📌 Confidence Interval vs. Prediction Interval

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-24 | ⏱️ Read time: 9 min read

A small but important difference that you should know

📌 Implementing Streamlit-Authenticator Across Multi-Page Apps

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-23 | ⏱️ Read time: 7 min read

Streamlit-Authenticator allows you to add a simple yet robust method for user authentication in a…

📌 Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-23 | ⏱️ Read time: 8 min read

How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.

📌 Documenting Python Projects with MkDocs

🗂 Category:

🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read

Use Markdown to quickly create a beautiful documentation page for your projects

📌 Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-22 | ⏱️ Read time: 21 min read

How to create reliable and scalable GenAI Agents for real-world applications

📌 Don’t Be Afraid to Use Machine Learning for Simple Tasks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read

A common misconception across industries

📌 How Spotify Implemented Personalized Audiobook Recommendations

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read

Personalized audiobook recommendations using graph neural networks

📌 Dynamic, Lazy Dependency Injection in Python

🗂 Category: CODING

🕒 Date: 2024-11-22 | ⏱️ Read time: 7 min read

Automatic Python dependency injection to make your code more testable, decoupled, uncomplicated and readable

📌 LLM Routing – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-22 | ⏱️ Read time: 69 min read

Dynamically Choosing the Right LLM

📌 Another Hike Up Everest

🗂 Category:

🕒 Date: 2024-11-22 | ⏱️ Read time: 9 min read

How to make progress on hard problems in AI

📌 Are You Sure You Want to Become a Data Science Manager?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-22 | ⏱️ Read time: 18 min read

Don’t rush into the fancy title until you have read this.

📌 NuCS: A Constraint Solver for Research, Teaching, and Production Applications

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-22 | ⏱️ Read time: 6 min read

Blazing-fast constraint solving in pure Python

📌 Neuromorphic Computing – an Edgier, Greener AI

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-22 | ⏱️ Read time: 18 min read

There are periodic proclamations of the coming neuromorphic computing revolution. While there remain substantial challenges…

📌 Dynamic Visualizations in Python

🗂 Category:

🕒 Date: 2024-11-21 | ⏱️ Read time: 8 min read

How to animate plots with OpenCV and Matplotlib

📌 ChatGPT: Two Years Later

🗂 Category: CHATGPT

🕒 Date: 2024-11-21 | ⏱️ Read time: 25 min read

Tracing the impact of the generative AI revolution

📌 Graph Neural Networks: Fraud Detection and Protein Function Prediction

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-21 | ⏱️ Read time: 8 min read

Understanding AI applications in bio for machine learning engineers

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📌 Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-20 | ⏱️ Read time: 12 min read

A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting

📌 The SyncNet Research Paper, Clearly Explained

🗂 Category: DEEP LEARNING

🕒 Date: 2025-09-20 | ⏱️ Read time: 11 min read

A Deep Dive into “Out of Time: Automated Lip Sync in the Wild”

📌 Leverage Python Inheritance in ML projects

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-21 | ⏱️ Read time: 6 min read

Learn how to implement coding best practices to avoid tech debts

📌 Cluster While Predict: Iterative Methods for Regression and Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-21 | ⏱️ Read time: 11 min read

Predictive and prescriptive analytics to bridge the gap between segmentation and prediction for real-world applications