What if you want to write the whole object detection training pipeline from scratch, so you can understand each step and be able to customize it? That’s what I set out to do. I examined several well-known object detection pipelines and designed one that best suits my needs and tasks. Thanks to Ultralytics, YOLOx, DAMO-YOLO,…

“Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature review within 6 minutes. This function goes beyond a normal web…

“You don’t have to be an expert to deceive someone, though you might need some expertise to reliably recognize when you are being deceived.” When my co-instructor and I start our quarterly lesson on deceptive visualizations for the data visualization course we teach at the University of Washington, he emphasizes the point above to our…

What is synthetic data? Data created by a computer intended to replicate or augment existing data. Why is it useful? We have all experienced the success of ChatGPT, Llama, and more recently, DeepSeek. These language models are being used ubiquitously across society and have triggered many claims that we are rapidly approaching Artificial General Intelligence — AI…

As a Developer Advocate, it’s challenging to keep up with user forum messages and understand the big picture of what users are saying. There’s plenty of valuable content — but how can you quickly spot the key conversations? In this tutorial, I’ll show you an AI hack to perform semantic clustering simply by prompting LLMs!…

Python has grown to dominate data science, and its package Pandas has become the go-to tool for data analysis. It is great for tabular data and supports data files of up to 1GB if you have a large RAM. Within these size limits, it is also good with time-series data because it comes with some…

Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were selected for a campaign and they received Treatment A. Another sample was selected to receive Treatment B. “A” could be a communication or offer and “B” could be no communication or no…

In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter tuning, yet often overlook a fundamental aspect: how our features live and breathe throughout their lifecycle. From in-memory calculations that vanish after each prediction to the challenge of reproducing exact feature values months later, the way we handle features can…

Why distributed tracing is the key to resolving performance issues (Image by Author) - Distributed tracing — ideaMy articles are free for everyone to read! If you don’t have a Medium subscription, feel free to explore the full article directly on my blog: https://blog.bytedoodle.com/distributed-tracing-a-powerful-approach-to-debugging-complex-systems/ M odern applications are increasingly built using microservices, where hundreds of…

Insights from a synthetic control group 16 min read · 10 hours ago Photo by Maria Ziegler on UnsplashReal estate is a bedrock of modern economies, serving as both a tangible asset and an essential component of wealth accumulation for individuals and investment portfolios. Real estate price fluctuations have far-reaching implications, influencing…