📌 Where to Start when Data is Limited: A Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read

Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.

📌 A Practical Exploration of Sora – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read

A new cutting edge video generation tool, and the theory behind it

📌 Preparing PDFs for RAGs

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 5 min read

I created a graph storage from dozens of annual reports (with tables)

📌 Influential Time-Series Forecasting Papers of 2023-2024: Part 1

🗂 Category: ARTIFICIAL INTELLIGENCE

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

Exploring the latest advancements in time series

📌 What Did I Learn from Building LLM Applications in 2024? – Part 2

🗂 Category:

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

An engineer’s journey to building LLM-powered applications

📌 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…

📌 Unlocking the Power of Machine Learning in Analytics: Practical Use Cases and Skills

🗂 Category: ANALYTICS

🕒 Date: 2025-01-15 | ⏱️ Read time: 9 min read

Your essential machine learning checklist to excel as a data scientist in analytics

📌 Recursive Walks down User Referral Trees

🗂 Category: MARKETING

🕒 Date: 2025-01-15 | ⏱️ Read time: 6 min read

Measuring the total influence of users in a user referral program by traversing indirect referrals

📌 LossVal Explained: Efficiently Estimate the Importance of Your Training Data

🗂 Category: DATA SCIENCE

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

How to Exploit the Loss Function for Efficient Data Valuation

📌 Scaling Segmentation with Blender: How to Automate Dataset Creation

🗂 Category: DATA SCIENCE

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

A Step-by-Step Guide to Generating Synthetic Data for Training AI Models

📌 Basics of GANs & SMOTE for Data Augmentation

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 14 min read

GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)

📌 Hands-On Delivery Routes Optimization (TSP) with AI, Using LKH and Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 12 min read

Here’s how to optimize the delivery routes, from theory to code.

📌 How To: Forecast Time Series Using Lags

🗂 Category: DATA SCIENCE

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

Lag columns can significantly boost your model’s performance

📌 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