📌 Model Interpretability Using Credit Card Fraud Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 20 min read

Why model interpretability is important

📌 How to Pivot Tables in SQL

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read

A comprehensive guide to creating pivot tables in SQL for enhanced data analysis

📌 The Math Behind KAN – Kolmogorov-Arnold Networks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-12 | ⏱️ Read time: 15 min read

A new alternative to the classic Multi-Layer Perceptron is out. Why is it more accurate…

📌 Spatial Index: Grid Systems

🗂 Category: DATABASE DESIGN

🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read

Grid Systems in Spatial Indexing using GeoHash and Google S2

📌 Deep Learning Illustrated, Part 4: Recurrent Neural Networks

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

An illustrated and intuitive guide on the inner workings of an RNN and the Softmax…

📌 ASA’s Caution: Rethinking How We Use p-Values in Research

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 9 min read

Understanding the ASA’s statement to enhance your data science practices

📌 MLOps – Data Validation with PyTest

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 12 min read

Run deterministic and non-deterministic tests to validate your dataset

📌 An Open Data-Driven Approach to Optimising Healthcare Facility Locations Using Python

🗂 Category:

🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read

A tutorial in Python with an open data stack

📌 Key Roles in a Fraud Prediction project with Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-11 | ⏱️ Read time: 6 min read

What type of roles are involved in developing a ML model for fraud prediction?

📌 How to Maximize Your Impact as a Data Scientist

🗂 Category: ANALYTICS

🕒 Date: 2024-06-11 | ⏱️ Read time: 13 min read

Actionable advice to accelerate your career

📌 Multi-Head Attention – Formally Explained and Defined

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-11 | ⏱️ Read time: 10 min read

A comprehensive and detailed formalization of multi-head attention.

📌 Beyond FOMO – Keeping up to date in AI

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 9 min read

Don’t get stressed but enjoy the journey.

📌 Optimize Production with R - Part I

🗂 Category:

🕒 Date: 2024-06-11 | ⏱️ Read time: 8 min read

An introduction to linear programming with R

📌 How I Built an LLM-Based Game from Scratch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

Part I: Game concepts and Causal Graphs for LLMs

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

🗓️ 17 Oct 2025
📚 AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

📌 SQL Explained: Ranking Analytics

🗂 Category: DATA ENGINEERING

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

What they are and how you use them

📌 Anatomy of Windows Functions

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read

Theory and practice of an underappreciated SQL operation

📌 Reinforcement Learning, Part 4: Monte Carlo Control

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

Harnessing Monte Carlo algorithms to discover the best strategies

📌 Spatial Index: Space-Filling Curves

🗂 Category: DATABASE DESIGN

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

Spatial Index and Space Filling Curves for Multi-dimensional data

🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

🗓️ 17 Oct 2025
📚 AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

📌 Task-Aware RAG Strategies for When Sentence Similarity Fails

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 19 min read

When retrieval is based on an additional metric besides just sentence similarity, traditional methods perform…