📌 Transforming Data Quality: Automating SQL Testing for Faster, Smarter Analytics

🗂 Category: SQL

🕒 Date: 2024-10-26 | ⏱️ Read time: 13 min read

How to test the quality of SQL and resultant dataset against the business question to…

📌 Are you Aware of the Potential of Your Data Expertise in Driving Business Profitability?

🗂 Category: ANALYTICS

🕒 Date: 2024-10-24 | ⏱️ Read time: 12 min read

A reflection of a supply chain data scientist who randomly discovered the power of data…

📌 How AlphaFold 3 Is Like DALLE 2 and Other Learnings

🗂 Category:

🕒 Date: 2024-10-24 | ⏱️ Read time: 7 min read

Understanding AI applications in bio for machine learning engineers

📌 Time Series – From Analyzing the Past to Predicting the Future

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-23 | ⏱️ Read time: 22 min read

How to learn from the past with time series.

📌 ML Metamorphosis: Chaining ML Models for Optimized Results

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-23 | ⏱️ Read time: 8 min read

The universal principle of knowledge distillation, model compression, and rule extraction

📌 Mastering Back-of-the-Envelope Math Will Make You a Better Data Scientist

🗂 Category: ANALYTICS

🕒 Date: 2024-10-23 | ⏱️ Read time: 14 min read

A quick and dirty answer is often more helpful than a fancy model

📌 An Introduction to Using PCA for Outlier Detection

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-22 | ⏱️ Read time: 18 min read

A surprisingly effective means to identify outliers in numeric data

📌 Comprehensive Guide to Crafting a Perfect CV in Data Science

🗂 Category: DATA SCIENCE

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

Impress recruiters and land your dream job by creating a standout resume

📌 Image Data Collection for Climate Change Analysis

🗂 Category: CLIMATE CHANGE

🕒 Date: 2024-10-22 | ⏱️ Read time: 9 min read

A beginner’s guide

📌 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