📌 Scale Experiment Decision-Making with Programmatic Decision Rules

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 6 min read

Decide what to do with experiment results in code

📌 Why Normalization Is Crucial for Policy Evaluation in Reinforcement Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-14 | ⏱️ Read time: 6 min read

Enhancing Accuracy in Reinforcement Learning Policy Evaluation through Normalization

📌 Awesome Plotly with Code Series (Part 8): How to Balance Dominant Bar Chart Categories

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 8 min read

Discover the #1 strategy to handle skyscraper bars in your charts

📌 From Darwin to Deep Work

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 7 min read

Focus Strategies for Machine Learning Practitioners

📌 You Think 80% Means 80%? Why Prediction Probabilities Need a Second Look

🗂 Category:

🕒 Date: 2025-01-14 | ⏱️ Read time: 9 min read

Understand the gap between predicted probabilities and real-world outcomes

📌 Using Optimization to Solve Adversarial Problems

🗂 Category:

🕒 Date: 2025-01-14 | ⏱️ Read time: 41 min read

An example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the…

📌 Roadmap to Becoming a Data Scientist, Part 3: Machine Learning

🗂 Category: CAREER ADVICE

🕒 Date: 2025-01-14 | ⏱️ Read time: 11 min read

From beginner to pro: key machine learning skills for data science aspirants

📌 No Peeking Ahead: Time-Aware Graph Fraud Detection

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read

How to implement leak-free graph fraud detection

📌 The Large Language Model Course

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read

How to become an LLM Scientist or Engineer from scratch

📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-16 | ⏱️ Read time: 4 min read

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

📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-16 | ⏱️ Read time: 17 min read

An in-depth article about dimensionality reduction and its most popular methods

📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-16 | ⏱️ Read time: 11 min read

An argument in favor of human-written coding tutorials in the new age of LLMs.

📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship

🗂 Category: ENTREPRENEURSHIP

🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read

A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…

📌 Water Cooler Small Talk, Ep 6: Benford’s Law

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read

A look into the strange first digit distribution of naturally occurring datasets

📌 Qubits Explained: Everything You Need to Know

🗂 Category: PHYSICS

🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read

A deep dive into the building block of quantum computers.

📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read

Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…

📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read

Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development

📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read

A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…

📌 A Multimodal AI Assistant: Combining Local and Cloud Models

🗂 Category:

🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read

Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…

📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read

It’s not how many times you get knocked down that count, it’s how many times…

📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read

Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.