📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read

5 practical use cases that prove Power Query is worth exploring.

📌 Water Cooler Small Talk: Simpson’s Paradox

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read

Is your data tricking you? What can you do about it?

📌 Multimodal Embeddings: An Introduction

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read

Mapping text and images into a common space

📌 AI Math: The Bias-Variance Trade-off in Deep Learning

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read

A visual tour from classical statistics to the nuances of deep learning

📌 Porting Twitter’s Anomaly Detection Algorithm To Swift

🗂 Category: TWITTER

🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read

From Twitter to Swift: Building Anomaly Detection.

📌 GenAI is Reshaping Data Science Teams

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read

Challenges, opportunities, and the evolving role of data scientists

📌 The Intuition behind Concordance Index – Survival Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read

Ranking accuracy versus absolute accuracy

📌 Complete MLOPS Cycle for a Computer Vision Project

🗂 Category:

🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read

These days, we encounter (and maybe produce on our own) many computer vision projects, where…

📌 A quick guide to Network Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read

For those who would like to learn about complex connections – from theory to practice…

📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 4 min read

The stories that resonated the most with our community in the past month

📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important

🗂 Category: MARKETING

🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read

"Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…

📌 NLP Illustrated, Part 2: Word Embeddings

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read

An illustrated and intuitive guide to word embeddings

📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified

🗂 Category: PROBABILITY

🕒 Date: 2024-11-26 | ⏱️ Read time: 23 min read

Understanding key concepts such as Monte Carlo Methods, Bayes’ Theorem or Gradient Descent can be…

📌 Addressing Missing Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read

Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno

📌 Mistral 7B Explained: Towards More Efficient Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 56 min read

RMS Norm, RoPE, GQA, SWA, KV Cache, and more!

📌 Data Scientist Answers the Most Popular Data Science Questions

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 7 min read

All-around guidance for prospective data scientists

📌 Explainable Generic ML Pipeline with MLflow

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read

An end-to-end demo to wrap a pre-processor and explainer into an algorithm-agnostic ML pipeline with…

📌 Optimizing Transformer Models for Variable-Length Input Sequences

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 17 min read

How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs

📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read

Reflections on moving from hands-on work to mentoring and leading

📌 Every Step of the Machine Learning Life Cycle Simply Explained

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-26 | ⏱️ Read time: 18 min read

A comprehensive guide to the ML life cycle with examples in Python