📌 Building AI Applications in Ruby

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-21 | ⏱️ Read time: 15 min read

Why Ruby may be the best language to write your next AI web application

📌 What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read

A meta analysis that turns out positive yet identifies the need for further research

📌 I Teach Data Viz with a Bag of Rocks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-20 | ⏱️ Read time: 5 min read

Here’s Why Domain-Specific Integration Matters in Your Data Science Workflows

📌 Optimizing Multi-Objective Problems with Desirability Functions

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read

Applied to a very real problem: baking bread!

📌 How to Set the Number of Trees in Random Forest

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-16 | ⏱️ Read time: 13 min read

A practical introduction to the optRF package

📌 How to Build an AI Journal with LlamaIndex

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 10 min read

A step-by-step guide for building an AI assistant powered by LlamaIndex

📌 The Automation Trap: Why Low-Code AI Models Fail When You Scale

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 7 min read

Low-code AI platforms promise speed, a model without a single line of code. But when…

📌 Agentic AI 102: Guardrails and Agent Evaluation

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 12 min read

An introduction to tools that make your model safer and more predictable and performant.

📌 Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-15 | ⏱️ Read time: 6 min read

A blend of LLMs’ creative generation capabilities with genetic algorithms

📌 Understanding Random Forest using Python (scikit-learn)

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read

A Random Forest is a powerful machine learning algorithm that can be used for classification…

📌 How to Learn the Math Needed for Machine Learning

🗂 Category: MATH

🕒 Date: 2025-05-15 | ⏱️ Read time: 7 min read

A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra,…

📌 Explore the New World of Agent Protocols

🗂 Category: THE VARIABLE

🕒 Date: 2025-05-15 | ⏱️ Read time: 3 min read

This week, we focus on helping you gain a deeper understanding of MCP and other…

📌 Boost 2-Bit LLM Accuracy with EoRA

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read

A training-free solution for extreme LLM compression.

📌 The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-05-15 | ⏱️ Read time: 8 min read

A step closer to spatial AI with geospatial processing with Fabric

📌 Strength in Numbers: Ensembling Models with Bagging and Boosting

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-15 | ⏱️ Read time: 16 min read

Mastering the fundamentals of bagging and boosting with simple examples

📌 Efficient Graph Storage for Entity Resolution Using Clique-Based Compression

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-14 | ⏱️ Read time: 7 min read

Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an…

📌 Parquet File Format – Everything You Need to Know!

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-05-14 | ⏱️ Read time: 9 min read

New data flavors require new ways for storing it! Learn everything you need to know…

📌 Survival Analysis When No One Dies: A Value-Based Approach

🗂 Category: STATISTICS

🕒 Date: 2025-05-13 | ⏱️ Read time: 11 min read

A generalized version of Kaplan-Meier allows to model a continuous value (like money) instead of…

📌 Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide

🗂 Category: PROGRAMMING

🕒 Date: 2025-05-13 | ⏱️ Read time: 8 min read

From setup to your first command line application — step by step

📌 Non-Parametric Density Estimation: Theory and Applications

🗂 Category: STATISTICS

🕒 Date: 2025-05-13 | ⏱️ Read time: 26 min read

A theoretical and practical introduction to non-parametric density estimation.