ML Fundamentals

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 »

Hinton KD is output distribution distillation. It transfers what the teacher thinks about each example individually. RKD is structure… Continue reading on Mediu

A large, cumbersome teacher model can train a smaller student model by giving it soft targets instead of only hard labels. Those soft… Continue reading on Mediu

A large, cumbersome teacher model can train a smaller student model by giving it soft targets instead of only hard labels. Those soft… Continue reading on Mediu

Nuevo día, nueva entrega. Es común cometer errores al escribir código; por ello, Python genera errores y excepciones que nos ayudan a… Continue reading on Mediu

You’re still using Pandas and pip. Your competitors aren’t. Here are the 20 libraries reshaping how real Python gets written with code… Continue reading on Medi

Transforming Performance Metrics: A Deep Dive into Multi-Dimensional Analysis of Football Players Continue reading on Medium »

Q1. Lagrange Multipliers What condition holds at the optimum? A. ∇f(x) = 0 B. ∇f(x) = Σ...

From Theory to Production: Mastering the Art and Science of Building Perfect Decision Trees Continue reading on Medium »

From Theory to Production: Mastering the Art and Science of Building Perfect Decision Trees Continue reading on Medium »

 New Launch — Step into the future of telecom with AI-powered 5G and upcoming 6G technologies. Designed for LTE/5G/ORAN professionals… Continue reading on Medi

Remote sensing technology has rapidly transformed the way we understand and monitor the Earth. From environmental monitoring and urban… Continue reading on Medi

Part 1 of the series: Machine Learning for Systematic Traders Continue reading on Medium »

Welcome to another post in my ongoing machine learning adventure. This blog is part of a series where I’m diving into the world of ML —… Continue reading on Med