ML Fundamentals

How an embarrasingly big amount of mathematicians were wrong Continue reading on Medium »

arXiv:2604.18645v1 Announce Type: new Abstract: This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the cla

arXiv:2604.18838v1 Announce Type: new Abstract: This research investigates the performance and efficacy of machine learning models in stock prediction, comparin

Here’s why that’s costing you bugs, readability, and sanity. Continue reading on The Pythonworld »

Here’s why that’s costing you bugs, readability, and sanity. Continue reading on The Pythonworld »

Here’s why that’s costing you bugs, readability, and sanity. Continue reading on The Python Dispatch »

Here’s why that’s costing you bugs, readability, and sanity. Continue reading on The Python Dispatch »

Over the past four parts, we zoomed in on single features ( univariate analysis), then looked at pairs ( bivariate ). Now it’s time for the real fun: multivaria

Reflections and lessons from a large-scale team project in the Machine Learning at Scale course at UC Berkeley MIDS Continue reading on Medium »

Why You Cannot Trust Your AI System Until You Can Measure It. Continue reading on Medium »

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

From GPUs to advanced PCB design, discover the unseen hardware infrastructure that enables AI models, machine learning systems, and… Continue reading on Medium

Local Model Inference Hardware in 2026: What to Buy, What to Avoid, and Which Models Actually Run Well Running AI models locally has gone from niche hobby to se

I expected machine learning models to outperform traditional forecasting on retail sales data. They didn’t. Continue reading on Medium »

I expected machine learning models to outperform traditional forecasting on retail sales data. They didn’t. Continue reading on Medium »

Hey, let’s continue with the next topic. So far, we’ve understood what Machine Learning is, why it is...

In this post, we show how to combine DVC (Data Version Control), Amazon SageMaker AI, and Amazon SageMaker AI MLflow Apps to build end-to-end ML model lineage.

By Dhananjay Yadav · Data Analyst II · May 2025 Continue reading on Medium »

By Dhananjay Yadav · Data Analyst II · May 2025 Continue reading on Medium »

Learn how to use piece-wise polynomials and knots to build more flexible, disciplined, and accurate machine learning models. Continue reading on Code Applied »

Many machine learning models perform great during training—but start failing once they reach production. From my recent learning in MLOps and AI testing, I’ve r

Many people worry they missed the boat on tech. They think they are too old to learn new things. If you are in your 30s or 40s, you might… Continue reading on M

Cloud platforms, digital twins, opponent models. An engineer’s tour of the ML stack now running professional cycling, and the four places… Continue reading on M

Cloud platforms, digital twins, opponent models. An engineer’s tour of the ML stack now running professional cycling, and the four places… Continue reading on M

Every week a new model drops with a blog post claiming state of the art on some benchmark. But if you...

Sometimes the biggest improvement in an AI system comes not from a better algorithm, but from better data. Continue reading on Medium »

From Data to Causal Structure Continue reading on LICENTIA POETICA »

Unpacking the theory, practice, and leaderboard dominance of Boosting vs. Stacking and what it means for production ML. Continue reading on Data Science Collect

Unpacking the theory, practice, and leaderboard dominance of Boosting vs. Stacking and what it means for production ML. Continue reading on Data Science Collect

RS-X is built around a simple idea: Write expressions against your model, and let updates propagate...

PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and w

You’re probably still using Enums like glorified constants. Here’s what you’re missing. Continue reading on The Pythonworld »

After learning about different Set implementations, I explored two important interfaces today — SortedSet and NavigableSet. Continue reading on Medium »

Pertanyaan pertama yang perlu ditanyakan: mana yang lebih berbahaya, FP atau FN? Continue reading on Medium »

Pertanyaan pertama yang perlu ditanyakan: mana yang lebih berbahaya, FP atau FN? Continue reading on Medium »

Linear Algebra, as it seems — is associated with abstract mathematics — vectors, matrices, and equations that apparently disconnected from… Continue reading on

In insurance, the whole engine runs on data, and that data is personal by default. For a project with Sure Tomorrow, I looked at how… Continue reading on Medium

Confusing at first, obvious now. Continue reading on Stackademic »

Every churn tutorial starts the same way. Import pandas. Load your CSV. Fit the model. Print 0.89 accuracy. Congratulations, you’ve… Continue reading on Medium

Good morning everyone! Continue reading on Medium »

A Learnability Gap, Not a Capacity Gap What 208 benchmark runs and four experiments in a...

I got tired of grepping through JSON. So I built a local search index over live Google data using Python, Typesense, and Bright Data —… Continue reading on Pyth

Tensor Processing Units are a technology developed and owned by Google. While you can find GPUs in...

When we build a machine learning model especially for classification tasks,we need a way to evaluate its performance. One of the most… Continue reading on Mediu

From 65% to 87% accuracy on CIFAR-10 using Convolutional Neural Networks — and what went wrong along the way. Continue reading on Level Up Coding »

I just came up with a youtube video of a math question that can be solved by a 5th grade chinese student but I couldn't solve that being in 12 th grade. chinese

Master the three pillars of production deep learning: distributed data, mixed precision, and gradient accumulation. Continue reading on Medium »

Continue reading on Medium »