📌 Unleash the Power of Probability to Predict the Future of Your Business

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read

A Practical Guide to Applying Probability Concepts with Python in Real-World Contexts

📌 OLAP is Dead – Or Is It ?

🗂 Category: ANALYTICS

🕒 Date: 2024-10-21 | ⏱️ Read time: 16 min read

OLAP’s fate in the age of modern analytics

📌 Awesome Plotly with Code Series (Part 1): Alternatives to Bar Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-21 | ⏱️ Read time: 14 min read

A bar chart is not always the best solution.

📌 Don’t Do Laundry Today, It Will Be Cheaper Tomorrow

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-21 | ⏱️ Read time: 19 min read

Analysing electricity price changes in London through causal inference

📌 The Power of Optimization in Designing Experiments Involving Small Samples

🗂 Category:

🕒 Date: 2024-10-21 | ⏱️ Read time: 11 min read

A step-by-step guide to designing more precise experiments using optimization in Python

📌 Efficient Document Chunking Using LLMs: Unlocking Knowledge One Block at a Time

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-21 | ⏱️ Read time: 9 min read

This article explains how to use an LLM (Large Language Model) to perform the chunking…

📌 SQL and Data Modelling in Action: A Deep Dive into Data Lakehouses

🗂 Category: SQL

🕒 Date: 2024-10-21 | ⏱️ Read time: 12 min read

Lakehouses as a continuation of data warehouses and data lakes. What is this architecture about?

📌 Linked Lists – Data Structures & Algorithms for Data Scientists

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-21 | ⏱️ Read time: 6 min read

How linked lists and queues work under the hood

📌 Evaluating Model Retraining Strategies

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-20 | ⏱️ Read time: 11 min read

How data drift and concept drift matter to choose the right retraining strategy?

📌 Cognitive Prompting in LLMs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-19 | ⏱️ Read time: 9 min read

Can we teach machines to think like humans?

📌 Implementing “Modular RAG” with Haystack and Hypster

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-18 | ⏱️ Read time: 13 min read

Transforming RAG Systems into LEGO-like Reconfigurable Frameworks

📌 Implementing Anthropic’s Contextual Retrieval for Powerful RAG Performance

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-18 | ⏱️ Read time: 16 min read

This article will show you how to implement the contextual retrieval idea proposed by Anthropic

📌 All you need to know about Non-Inferiority Hypothesis Test

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-18 | ⏱️ Read time: 6 min read

A non-inferiority test proves that a new treatment is not worse than the standard by…

📌 Calculating the Uncertainty Coefficient (Theil’s U) in Python

🗂 Category: PROBABILITY

🕒 Date: 2024-10-18 | ⏱️ Read time: 5 min read

A measure of correlation between discrete (categorical) variables

📌 What are Digital Twins?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-18 | ⏱️ Read time: 7 min read

Bridging the physical and digital worlds

📌 Reinforcement Learning for Physics: ODEs and Hyperparameter Tuning

🗂 Category: PHYSICS

🕒 Date: 2024-10-17 | ⏱️ Read time: 13 min read

Controlling differential equations with gymnasium and optimizing algorithm hyperparameters

📌 How to Export a Stata “Notebook” to HTML

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-17 | ⏱️ Read time: 9 min read

Create a shareable HTML document with your code, outputs, and graphs

📌 Why You Should Be Hiring Methodologists

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-17 | ⏱️ Read time: 6 min read

“All you need to do is develop your mind. If you have thought deeply, nearly…

📌 Autoencoders: An Ultimate Guide for Data Scientists

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 25 min read

A beginner’s guide to the architecture, Python implementation, and a glimpse into the future

📌 GraphMuse: A Python Library for Symbolic Music Graph Processing

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-17 | ⏱️ Read time: 12 min read

Yes, music and graphs do mix!