ML Fundamentals

How streaming iterators and smart memory management rescued my production pipeline. Continue reading on Medium »

Is your ML platform becoming a bottleneck instead of an accelerator? Continue reading on The Applied Engineer »

A free model scores 30% on your eval. The obvious conclusion: the model is weak. Swap it, and the...

The intersection of artificial intelligence and cryptocurrency markets has fundamentally shifted how traders approach volatility. Unlike traditional markets, cr

Temel kavramlardan Transformer mimarisine, model yaşam döngüsünden sahadaki mühendislik rollerine ve scikit-learn ile uygulamaya kadar. Continue reading on Medi

Temel kavramlardan Transformer mimarisine, model yaşam döngüsünden sahadaki mühendislik rollerine ve scikit-learn ile uygulamaya kadar. Continue reading on Medi

A YOLO11-based pipeline that turns drone thermal footage into GPS-tagged inspection reports — with a browser demo, a field-mapping tool… Continue reading on Med

Future lets us wait for a result. CompletableFuture lets us build what should happen when that result is ready. Continue reading on Medium »

A List can be considered as a dynamic array. It is denoted by [ ]. The values inside a list are...

Yazılım dünyasına adım attığınızda her şey print("Hello World") ile çok masum başlar. Ancak biraz derinlere indiğinizde Python’ın kendine… Continue reading on M

Serving automatic speech recognition (ASR) models at scale is costly when each request uses only a fraction of a GPU. Learn how NVIDIA CUDA Multi-Process Servic

Pre-trained models just beat tuned tree ensembles across 189 datasets, zero-shot. Then someone ran them on real industrial data. Continue reading on Medium »

Pre-trained models just beat tuned tree ensembles across 189 datasets, zero-shot. Then someone ran them on real industrial data. Continue reading on Medium »

In agricultural computer vision, deep learning architectures often dominate the conversation. Continue reading on Medium »

Why Evaluation Matters in Machine Learning ? Continue reading on Medium »

Why Evaluation Matters in Machine Learning ? Continue reading on Medium »

Deploying an AI model in production means taking a trained model and making it available to real users or applications, while ensuring it… Continue reading on M

You run a few cells, tweak a hyperparameter, re-run cell 12 out of order, and suddenly your accuracy jumps to 94%. Continue reading on Medium »

My honest takeaways from Part I of the book, fighting the “now what?” feeling, and setting the foundation for my career prep. Continue reading on Medium »

There’s a class of model failure that doesn’t show up in any loss curve. Continue reading on Medium »

A transcript can be technically accurate and still make a product feel broken. The words may be right, but they arrive too late. A speaker… Continue reading on

Accuracy tells us how many predictions the model got correct overall In my experiment, the model got around 92 % of the classifications… Continue reading on Med

Gradient descent doesn’t work with a threshold spike, so we make a switch (a polite lie), and then use a real test case to judge what… Continue reading on Mediu

Gradient descent doesn’t work with a threshold spike, so we make a switch (a polite lie), and then use a real test case to judge what… Continue reading on Mediu

How I combined Python libraries, automation, APIs, AI, Excel, and object-oriented programming into a reusable system I could package for… Continue reading on Me

Machine Learning Interview Preparation Part 19 Continue reading on Medium »

Machine Learning Interview Preparation Part 19 Continue reading on Medium »

Three ideas from Nested Learning, and what actually happened when I ran them Continue reading on Medium »

Why a simple classical algorithm beat my PyTorch GraphSAGE model, and what it taught me about real-world AI engineering. Continue reading on Medium »

Why a simple classical algorithm beat my PyTorch GraphSAGE model, and what it taught me about real-world AI engineering. Continue reading on Medium »

A team of thirty in Korea built a model that outranks Europe’s flagship, on one-fiftieth of the money. Continue reading on Medium »

Todos los tutoriales de aprendizaje profundo te dicen que barajes tus datos aleatoriamente. Me pregunté: ¿y si usara matemáticas en su… Continue reading on Medi

Todos los tutoriales de aprendizaje profundo te dicen que barajes tus datos aleatoriamente. Me pregunté: ¿y si usara matemáticas en su… Continue reading on Medi

hello everyone so i know a little coding and i really need a little direction because…now i’m realising that i would end up myself…just because i fucked uo ever

I built a retrieval engine with no retrieval libraries in the core — BM25 over a hand-rolled inverted index, HNSW from the Malkov & Yashunin paper, RRF to f

Azure Machine Learning ties experiment tracking, pipelines, and model serving to Azure-specific APIs...

You can build a model that recognizes cats, translates languages, detects objects, generates text, or understands speech. Continue reading on Medium »

Machine Learning : The Concept Continue reading on Medium »

The Paradigm Shift in Modern Demand Forecasting In the current landscape of software engineering and supply chain architecture, static forecasting models have b

Imagine trying to manually read three million customer transactions to spot a fraud pattern. No human team could do it accurately, let… Continue reading on Medi

Imagine trying to manually read three million customer transactions to spot a fraud pattern. No human team could do it accurately, let… Continue reading on Medi

Why energy position management must move beyond a single forecast Continue reading on Medium »

In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations.

From model training to PHQ-9 screening, Explainable AI and Docker deployment — here’s how I built an end-to-end ML application. Continue reading on Medium »

In my previous article, “The Evolution of Graph Neural Networks: From GCN to GATv2”, we looked at how Graph Neural Networks evolved from… Continue reading on Me

arXiv:2608.23855v1 Announce Type: new Abstract: We propose ICI-Time, a novel framework that reframes time series forecasting as a visual inpainting task, levera

arXiv:2608.23893v1 Announce Type: new Abstract: Learning systems deployed over long periods must adapt not only to statistical changes in incoming data, but als

sklearn 1.9 fixed a bug in how BayesianRidge computes its uncertainty. We traced predict on 1.8 and 1.9 and compared the two formulas it actually computes, see