ML Fundamentals

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

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

Move beyond simple accuracy. Learn the testing methods that prove your project’s real-world value and impress interviewers. Continue reading on Medium »

Tutorial passo a passo para transferir todos os dados do seu projeto… Continue reading on Medium »

Six weeks before OpenAI o3’s headline SWE-Bench Verified number started circulating among developers, OpenAI published a post declaring… Continue reading on Med

I used to measure productivity by how many lines of code I wrote in a day. Continue reading on CodeX »

High-quality speech data collection ensures accurate AI systems by focusing on clear goals, diverse voices, good audio quality, and proper… Continue reading on

Most companies don’t struggle with AI because the technology isn’t ready. They struggle because they pick the wrong partner. Continue reading on Medium »

I wasn’t trying to optimize anything. I just wanted to run a model. Continue reading on Medium »

Linear Regression: Turning Geometry into Prediction Continue reading on Medium »

https://medium.com/@ram.mgr88/how-machines-understand-words-using-embeddings-a-visual-guide-with-actual-math-dec4ff51f12c?postPublishedType= Continue reading on

https://medium.com/@ram.mgr88/how-machines-understand-words-using-embeddings-a-visual-guide-with-actual-math-dec4ff51f12c?postPublishedType= Continue reading on

Introduction Continue reading on Medium »

If you’ve followed my previous posts on Difference-in-Differences, RDD, and placebo tests, you already know that getting causal inference… Continue reading on M

If you’ve followed my previous posts on Difference-in-Differences, RDD, and placebo tests, you already know that getting causal inference… Continue reading on M

From our previous NLP series blog, one major pattern becomes very clear. Continue reading on Medium »

A Guide handling optimization, regularization, and advanced learning strategies from gradient descent to curriculum learning. Continue reading on Data Science C

A Guide handling optimization, regularization, and advanced learning strategies from gradient descent to curriculum learning. Continue reading on Data Science C

Quantile regression offers a lens through which we can view the entire conditional distribution of a financial variable, not just its… Continue reading on Mediu

arXiv:2604.09555v1 Announce Type: new Abstract: Multi-criteria Analysis (MCA) is used to rank alternatives based on various criteria. Key MCA methods, such as M

arXiv:2604.09582v1 Announce Type: new Abstract: Factorizing datasets is an interesting process in a multitude of approaches, but many times it is not possible o

arXiv:2604.09614v1 Announce Type: new Abstract: This paper develops a measure-theoretic framework establishing when and how a possibilistic representation of in

Stop crashing your servers! Learn how to use Python's yield keyword to process millions of rows with nearly zero RAM usage. Continue reading on Python in Plain

Stop crashing your servers! Learn how to use Python's yield keyword to process millions of rows with nearly zero RAM usage. Continue reading on Python in Plain

Your future self will thank you. Continue reading on Medium »

Self-Supervised Temporal Pattern Mining for sustainable aquaculture monitoring

By Leon Palafox Continue reading on GBM Tech »

This is the third and final part of my “Implementing DeepSeek-V2 MLA from scratch” series, a hands-on mini-course that will guide you… Continue reading on Mediu

Authors: Matt Lawhon | Sr. Machine Learning Engineer; Filip Ryzner | Machine Learning Engineer II; Kousik Rajesh | Machine Learning… Continue reading on Pintere

When people talk about model tuning, they often jump straight to hyper parameters. Continue reading on Medium »

sharp-mcp: Roslyn-Powered C# Analysis, Real NuGet DLL Reflection, and Safe Live...

From Fixed Linear Spreads to Adaptive Relative-Value Decisions and Online Allocation Continue reading on Level Up Coding »

Every invoice processing system has rules. "Flag amounts over $50,000 for manual review." "Reject invoices missing a vendor registration number." These are clea

Real-time fashion trend detection is a computational framework for identifying emerging apparel patterns. Unlike traditional retail analytics which rely on hist

Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs i

And why it quietly keeps you stuck for years Continue reading on Python in Plain English »

And why it quietly keeps you stuck for years Continue reading on Python in Plain English »

Difficulty: Medium Topic: Digit Dynamic Programming, Combinatorics Continue reading on Javascript by doing »

Introduction to Machine Learning and Python Continue reading on Medium »

When your rollback plan says “safe” but your system quietly keeps serving the very behavior you were trying to undo Continue reading on Medium »

Quantum computing is no longer just a research topic. It is slowly moving toward real-world use, and that is why tech leaders are starting… Continue reading on

arXiv:2604.08707v1 Announce Type: new Abstract: Monadic second order logic (MSO2) plays an important role in parameterized complexity due to the Courcelle's the

The function inside every neuron that makes neural networks actually work and why choosing the wrong one breaks everything. Continue reading on Medium »

The function inside every neuron that makes neural networks actually work and why choosing the wrong one breaks everything. Continue reading on Medium »

You’re probably sorting lists when a heap would solve the problem in a fraction of the time. Here’s what you’re missing. Continue reading on The Python Dispatch

From a trained model in a notebook to a working app that museum/exhibitions/venue operations teams can ACTUALLY use. Continue reading on Medium »