Criteria for Choosing a Computer Vision Library (Expert Perspective) Before we jump into the list of libraries, let’s talk about how you should evaluate them. Not all computer vision tools are built the same, and picking the wrong one can lead to wasted effort. Over the years, I’ve worked with everything from OpenCV to PyTorch … Read more
Best Computer Vision Python Libraries Read More »
I. Introduction “All models are wrong, but some are useful.” — George Box I’ve spent a good chunk of my career working with time series data—financial trends, energy demand, even biomedical signals. If there’s one thing I’ve learned, it’s that time series forecasting is rarely as straightforward as it seems. You might have tried traditional … Read more
Using Wavelet Transforms in Time Series Forecasting Read More »
1. Introduction “A model is only as good as the data and strategies you use to refine it.” When I first started using Langchain, I was blown away by its modular approach to building LLM-powered applications. But after deploying a few real-world projects, I quickly realized something: out-of-the-box Langchain wasn’t enough for high-accuracy, domain-specific applications. … Read more
Langchain Fine-Tuning – The Ultimate Guide Read More »
1. Introduction “The real voyage of discovery consists not in seeking new landscapes, but in having new eyes.” – Marcel Proust That quote perfectly sums up what OpenCV does for us in computer vision—it gives us new eyes, digital ones. I’ve worked with OpenCV across multiple languages—Python, C++, even MATLAB at some point. But when … Read more
OpenCV with JavaScript – A Practical Guide Read More »
Introduction When I first started exploring Reinforcement Learning (RL), I quickly realized it wasn’t just another buzzword — it was transforming the way AI behaves in games. Unlike traditional rule-based systems, RL agents don’t rely on pre-programmed strategies; instead, they learn through experience, much like how we refine our skills by trial and error. If … Read more
Reinforcement Learning in Games: A Complete Guide Read More »
I. Introduction “The first step in making your game truly successful is getting it into players’ hands—preferably, as many hands as possible.” I’ve spent years working with Python and game development, and if there’s one thing I’ve learned, it’s this: Pygame is fantastic for prototyping and indie games, but getting it to run on Android … Read more
From Pygame to Android Read More »
1. Introduction: Why SHAP Matters in Classification? “If you can’t explain it simply, you don’t understand it well enough.” – Albert Einstein. This quote hits hard when you’re working with machine learning models, especially in classification tasks. I’ve worked on enough models to know that just having high accuracy isn’t enough. You need to understand … Read more
SHAP Values for Classification Read More »
1. Introduction “The difference between intelligence and wisdom is simple: Intelligence is knowing a tomato is a fruit. Wisdom is knowing not to put it in a fruit salad.” That’s how I see Large Language Models (LLMs). They’re intelligent—brilliant, even—but they’re not always wise. You’ve probably noticed this yourself. Ask an LLM a simple question, … Read more
LangChain Chain of Thought: Enhancing LLM Reasoning for Complex Tasks Read More »
1. Introduction “All models are wrong, but some are useful.” – George Box I’ve worked with enough outlier detection techniques to know that traditional methods often fall apart when faced with real-world data. Early in my journey, I relied on Z-score, IQR, and even Local Outlier Factor (LOF), but the moment datasets became high-dimensional, noisy, … Read more
DBSCAN for Outlier Detection in Python: A Practical Guide Read More »
1. Introduction “If you get your learning rate wrong, nothing else matters.” – A lesson I learned the hard way. I remember one of my first deep learning projects where I thought I had everything figured out—perfect architecture, great dataset, solid preprocessing. But no matter what I did, the model just wouldn’t converge. It was … Read more
Guide to PyTorch Learning Rate Scheduling Read More »
