ML Fundamentals

In the previous article, we discussed probability distributions and how they help us understand the behavior of data. Continue reading on Medium »

Hi! I’m Fedor Velikonivtsev, a Senior Researcher at Yandex Research, where I lead a team focused on efficient GPU computing. Continue reading on Yandex »

In modern prediction markets and high-frequency trading systems, understanding your true position in...

A practical guide for CTOs, AI product leaders, machine learning engineers, data scientists, and enterprise AI teams evaluating… Continue reading on Medium »

Learn what features and labels are, how they differ, and why they are essential for training supervised machine learning models. Continue reading on Medium »

Learn what features and labels are, how they differ, and why they are essential for training supervised machine learning models. Continue reading on Medium »

Learn what features and labels are, how they differ, and why they are essential for training supervised machine learning models. Continue reading on Medium »

How we combined satellite imagery, meteorological data, and ground observations to estimate air quality across Mumbai Continue reading on Medium »

Mülakatlarda sizden beklenen temel AI kavramları Continue reading on Medium »

I recently built and deployed a real-time fraud detection API using GraphSAGE GNNs — live at...

Every skill you admire in someone else was learned at some point . nothing comes naturally. Schools give you a fixed curriculum and… Continue reading on Medium

The biggest improvements in my AI skills didn’t come from learning more algorithms, they came from mastering the right Python libraries. Continue reading on Sta

The biggest improvements in my AI skills didn’t come from learning more algorithms, they came from mastering the right Python libraries. Continue reading on Sta

If you’ve heard of LeetCode before, there’s a 110% chance you know this problem, it’s the very first one. My DSA journey started here too… Continue reading on M

CentryAI Technical Analysis CentryAI is a no-code AI platform designed to simplify the development and deployment of machine learning models. The platform provi

A build-in-public engineering log. Every number below is pulled straight from the test reports —...

Why your Spark jobs are slow — and how to make them fly. Continue reading on Medium »

Kesalahan dalam memprediksi penjualan dapat berdampak besar bagi bisnis, mulai dari kelebihan stok hingga kehilangan peluang penjualan. Continue reading on Medi

How Manifolds Reveal The Shape Of Curved Worlds, Moving Systems, And Modern Data Continue reading on Medium »

How I separate production ML engineering proof from private trading logic. Continue reading on Medium »

Someone log-transforms their target, fits a model, wraps it in conformal prediction,...

The hardest problems in frontier ML are not intellectual puzzles solvable at a whiteboard but empirical, systems-level problems whose… Continue reading on Mediu

scaling experiments, improving training reliability, debugging distributed systems, reducing latency and cost, and making new capabilities… Continue reading on

Recently, our team moved to Apache Airflow 3 on Amazon MWAA to take advantage of its improved security posture and newer runtime support… Continue reading on Me

Context windows now run to millions of tokens, yet reliability decays as the window fills, so inside a single run, the capacity you paid… Continue reading on St

A daily deep dive into foundations topics, coding problems, and platform features from PixelBank . Topic Deep Dive: Statistical Estimation From the Probability

A few days ago, I stumbled upon a quote by Richard Feynman. Continue reading on Medium »

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Bigger is no longer better. Here is what the shift to efficient AI means for developers with limited compute including most of Africa. Continue reading on Mediu

In the last post, we talked about 2012 — the year deep learning stopped being an academic curiosity...

What MCP is, why it exists, and how to build a minimal tool server and a client that consumes it in Python — with an honest look at when the protocol earns its

Stop manually hunting for hyperparameters in dashboards. Connect Claude or Cursor directly to Comet ML via MCP to audit experiments, retrieve real-time metrics,

Building Predictive Engineering Intelligence for the Cognee X We Make Dev Hackathon 2026 Continue reading on Medium »

Yjs, Automerge, and Loro are excellent CRDT libraries — but they leave the server problem to you. You...

Our eval dashboard said 94%. Green checkmark, merge button unlocked, everyone moved on. Three days later a customer forwarded us a transcript where our support

Hello Dev Community! 👋 It is officially Day 98 of my 100-day full-stack engineering track! 🎯 We are...

CLM Series — Chapter 9 / 50 Continue reading on Medium »

The three highest-impact optimizations are implemented and measured: predict_batch() with feature vector reuse collapsed… Continue reading on Medium »

The three highest-impact optimizations are implemented and measured: predict_batch() with feature vector reuse collapsed… Continue reading on Medium »

AI Homework Assistant Core Features Continue reading on Medium »

💡 Key Highlights Enterprise Synthetic Data Generation for Enterprises : This article delves into the world of synthetic data generation, providing a comprehens

💡 Key Highlights Enterprise Synthetic Data Generation : A cutting-edge approach to creating realistic and diverse data sets for machine learning model training

Benchmarks report averages over fixed test sets. Production failures live in the variance and the tails. Those are two different problems.

We just released an important update: retraining our Random Forest model on real malware behavior...

I'm probably not the only one who checks every few months whether a GPU alternative has finally...

Eigenvectors Click Continue reading on Medium »

I am a scientist who just applied machine learning to my research (JEPA/Representation/Geometric branch) and it did wonder! Allowed me to see so many papers tha

The fewer people on your team, the more these libraries start to feel like unfair advantages. Continue reading on Stackademic »