ML Fundamentals

Last week, we completed the marketing attribution series by implementing a Markov chain model to assign channel credit. Continue reading on Medium »

Plus, I simulated a $10,000 investment using naive and advanced strategies Continue reading on Code Like A Girl »

In 2015, Mathias Biilmann was building Netlify and kept running into the same problem: engineers were doing something that had no name… Continue reading on Medi

Neural networks and evolution strategies are two important ideas in machine learning. One is a model, and the other is a way to optimize a… Continue reading on

Neural networks and evolution strategies are two important ideas in machine learning. One is a model, and the other is a way to optimize a… Continue reading on

There’s a concept we’ve started using internally that doesn’t seem to exist yet in the standard vocabulary of AI development. Continue reading on Medium »

But then you step into a real-world project — and everything changes. Continue reading on Medium »

What if a machine could look at a name like “Priya” or “Rahul” and instantly guess whether it’s male or female? Continue reading on Medium »

Learn how I made my first $100 using machine learning with simple tools and beginner-friendly steps. Start your AI earning journey today. Continue reading on Me

Step-by-Step Guide for Beginners Continue reading on Write A Catalyst »

If machine learning felt confusing at first, “types of machine learning” probably didn’t make it easier. Continue reading on Medium »

If machine learning felt confusing at first, “types of machine learning” probably didn’t make it easier. Continue reading on Medium »

Continue reading on Medium »

AI doesn’t directly see reality. It builds a view of it through data, assumptions, and modeling choices. This means every model is shaped… Continue reading on M

Pharos Network, the Layer 1 chain founded by former Ant Group leadership, has signed a Capstone research collaboration with the HKU-SCF FinTech Academy at the U

The Ultimate Beginner-to-Advanced Guide for Machine Learning Continue reading on Medium »

The Ultimate Beginner-to-Advanced Guide for Machine Learning Continue reading on Medium »

Build smarter Python automation systems that actually scale, fail gracefully, and save hours every week. Continue reading on Medium »

Build smarter Python automation systems that actually scale, fail gracefully, and save hours every week. Continue reading on Top Python Libraries »

Factor discovery is the process of analyzing large amounts of data to identify key factors influencing asset price fluctuations… Continue reading on Medium »

For years, MMLU was the benchmark. If a research paper or product announcement wanted to prove a model was smart, MMLU scores were front… Continue reading on Me

For years, MMLU was the benchmark. If a research paper or product announcement wanted to prove a model was smart, MMLU scores were front… Continue reading on Me

What if you could test a decision before actually making it? Continue reading on Medium »

There’s a certain kind of problem that doesn’t look like a problem at first. Continue reading on Medium »

Data annotation is essential for training AI and machine learning models by labeling raw data like images, text, and audio to help… Continue reading on Medium »

arXiv:2604.12460v1 Announce Type: new Abstract: Machine learning has become a central research area, with increasing attention devoted to explainable clustering

arXiv:2604.13013v1 Announce Type: new Abstract: This paper tackles the Electric Capacitated Vehicle Routing Problem (E-CVRP) through a bilevel optimization fram

I built a tool that makes any PyTorch model inspectable with one line of code. No retraining, no...

How algorithms replaced brute force and started designing tomorrow’s medicines today Continue reading on Data Science Collective »

Hello guys, My name is Olvandri Nouva Pratama with Student ID 10223033 from Pyshics Departement, Institut Teknologi Bandung.I am the third… Continue reading on

The Python Concepts I Used to Fear: Lambdas, Map, Filter, and Comprehensions Continue reading on Medium »

The Python Concepts I Used to Fear: Lambdas, Map, Filter, and Comprehensions Continue reading on Medium »

Keeping the data fixed, we compare three least-squares models to show how changing the model changes the subspace — and therefore changes… Continue reading on G

Keeping the data fixed, we compare three least-squares models to show how changing the model changes the subspace — and therefore changes… Continue reading on G

When model improvements don’t translate into real user impact Continue reading on Medium »

I love rabbit holes and this is my motivation. Continue reading on Medium »

Why Learn Machine in the Age of AI Continue reading on Medium »

Before neural networks, LLMs, and all the hype, AI begins with patterns, statistics, and optimization. Continue reading on Medium »

Before neural networks, LLMs, and all the hype, AI begins with patterns, statistics, and optimization. Continue reading on Medium »

Superposition, Entanglement, and Topology in Human Reasoning Architecture Continue reading on Activated Thinker »

I've been working with MCP servers for a few months now. If you're not familiar, MCP (Model Context Protocol) is Anthropic's open standard for connecting AI mod

Context A large Canadian charitable lottery organization was experiencing declining ticket sales across multiple consecutive draws. Continue reading on Medium »

Why making a class its own iterator silently breaks every loop after the first one Continue reading on Medium »

We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities

In this post, we walk through how Guidesly built Jack AI on AWS using AWS Lambda, AWS Step Functions, Amazon Simple Storage Service (Amazon S3), Amazon Relation

In this article, I present a comprehensive overview of the ML pipeline and explore Supervised Learning, one of the most fundamental… Continue reading on Medium

Experiment tracking, model versioning, checkpointing, cross-validation. The infrastructure that makes ML reproducible. Plus the bugs that… Continue reading on M