📌 Universal Data Supply: Know Your Business

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read

An industry example to emphasize the importance of understanding your business case

📌 Self-Service ML with Relational Deep Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-22 | ⏱️ Read time: 8 min read

Do ML directly on your relational database

📌 Deep Learning vs Data Science: Who Will Win?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-22 | ⏱️ Read time: 14 min read

What is more important, your data or your model?

📌 Why Scaling Works: Inductive Biases vs The Bitter Lesson

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-22 | ⏱️ Read time: 11 min read

Building deep insights with a toy problem

📌 Game Theory, Part 1 – The Prisoner’s Dilemma Problem

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-22 | ⏱️ Read time: 7 min read

Game theory is prevalent in real-life scenarios and decision-making

📌 Using Vector Steering to Improve Model Guidance

🗂 Category:

🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read

Exploring the Research on Vector Steering and Coding Up an Implementation

📌 Discretization, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read

6 fun ways to categorize numbers into bins!

📌 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