📌 Python Data Analysis: What Do We Know About Modern Artists?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 15 min read

Finding patterns in the media landscape with Wikipedia, Python, and NetworkX

📌 A Day in the Life of a Data Scientist

🗂 Category: CAREER ADVICE

🕒 Date: 2024-06-08 | ⏱️ Read time: 8 min read

What do I actually do all day, anyway?

📌 Tiny Time Mixers (TTM): A Powerful Zero-Shot Forecasting Model by IBM

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 11 min read

A new lightweight open-source foundation model

📌 Principal Component Analysis Made Easy: A Step-by-Step Tutorial

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-08 | ⏱️ Read time: 10 min read

Implement the PCA algorithm from scratch with Python

📌 What Is a Good Imputation for Missing Values?

🗂 Category: STATISTICS

🕒 Date: 2024-06-08 | ⏱️ Read time: 21 min read

My current take on what imputation should be

📌 How to Build a Generative Search Engine for Your Local Files Using Llama 3

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-06-08 | ⏱️ Read time: 15 min read

Use Qdrant, NVidia NIM API, or Llama 3 8B locally for your local GenAI assistant

📌 Can We Save the AI Economy?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-10-18 | ⏱️ Read time: 23 min read

And do we want to?

📌 Python 3.14 and the End of the GIL

🗂 Category: PROGRAMMING

🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read

Exploring the opportunities and challenges of a GIL-free Python

📌 Scale Is All You Need for Lip-Sync?

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-07 | ⏱️ Read time: 14 min read

Alibaba’s EMO and Microsoft’s VASA-1 are crazy good. Let’s break down how they work.

📌 AI Assistants, Copilots, and Agents in Data & Analytics: What’s the Difference?

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-07 | ⏱️ Read time: 8 min read

Understanding AI autonomy: assistants, copilots, agents, and their impact on business value

📌 Automating Prompt Engineering with DSPy and Haystack

🗂 Category:

🕒 Date: 2024-06-07 | ⏱️ Read time: 10 min read

Teach your LLM how to talk through examples

📌 Fraud Prediction with Machine Learning in the Financial Industry: A Data Scientist’s Experience

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-07 | ⏱️ Read time: 6 min read

Insights and experiences from a data scientist on the frontlines

📌 YOLO – By Hand

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-07 | ⏱️ Read time: 6 min read

A breakdown of the math within YOLO

📌 How LLMs Think

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-07 | ⏱️ Read time: 11 min read

Research paper in pills: “Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet”

📌 Applied LLM Quantisation with AWS Sagemaker | Analytics.gov

🗂 Category:

🕒 Date: 2024-06-07 | ⏱️ Read time: 19 min read

Host production-ready LLMs endpoints at twice the speed but one fifth the cost.

📌 From Code to Insights: Software Engineering Best Practices for Data Analysts

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-06 | ⏱️ Read time: 20 min read

Top 10 engineering lessons every data analyst should know

📌 SageMaker vs Vertex AI for Model Inference

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-06 | ⏱️ Read time: 14 min read

Comparing the AWS and GCP fully-managed services for ML workflows

📌 Multilingual RAG, Algorithmic Thinking, Outlier Detection, and Other Problem-Solving Highlights

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-06 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features

📌 My 30-Day Map Challenge 2023

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-06 | ⏱️ Read time: 9 min read

An overview of selected map topics and algorithms

📌 PAGA Explained: Graphical Abstractions of Single-Cell Data

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-06-06 | ⏱️ Read time: 7 min read

How a broader view of data can give us insights to its deeper meaning.

📌 Cross-validation with XGBoost – Enhancing Customer Churn Classification with Tidymodels

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-06 | ⏱️ Read time: 6 min read

Step-by-step guide to implementing cross-validation, feature engineering, and model evaluation with XGBoost in Tidymodels