ML Fundamentals

One model for everything is usually the wrong strategy. <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cform

NaNs don’t crash your training — they quietly destroy it. After losing hours to a silent failure in a ResNet training run, I built a lightweight detector that p

Steam, platform distribusi game digital terbesar di dunia, menampung lebih dari 50.000 judul game dengan jutaan ulasan dari penggunanya… Continue reading on Med

How to Implement AI-Powered Pricing Engines: A Step-by-Step Guide You've heard about the benefits of dynamic pricing powered by artificial intelligence, and you

TL;DR: MLflow, Kubeflow, and Weights & Biases solve fundamentally different problems. MLflow is your experiment ledger. Kubeflow is your… Continue reading on Me

If I asked you to calculate the derivative of a single nested function, you would probably reach for a pen. Continue reading on Medium »

Understanding Token Classification in NLP: From Words to Meaning Continue reading on Medium »

Understanding Token Classification in NLP: From Words to Meaning Continue reading on Medium »

The best model is rarely the right model. And chasing it is one of the biggest mistakes in...

Textbook: Self-Study Java (by Shin Yong-kwon) Sections: Chapter 04 Sec 01, Sec 02, Chapter Review...

In today’s fast-moving digital economy, businesses are no longer relying on instinct alone to make critical decisions. Instead, they are… Continue reading on Me

It's a question that echoes through tech conferences and LinkedIn feeds: "Is AI the future?" For...

Oleh : #bayuyudhasaputra Continue reading on Medium »

Most developers are stuck between two bad options: Continue reading on Medium »

A deep lecture-style guide to entropy, KL divergence, probability distributions, optimization, and the manifold hypothesis behind modern… Continue reading on Me

Fast builds with real takeaways. Continue reading on Stackademic »

Fast builds with real takeaways. Continue reading on Stackademic »

Most ML models never make it to production. Of those that do, most fail not because the model was wrong — but because the system around it… Continue reading on

How to Immerse by Returning Continue reading on A Voice in the Conversation »

Deploy ML models at the edge with real-time sync, automatic conflict resolution, and zero...

What I learned building a recommendation engine that bridges two of my favorite things Continue reading on Medium »

How I used CNNs and mel-spectrograms to classify human speech vs voicemail messages, and what I learned building it Continue reading on Medium »

Manufacturing downtime costs the global economy an estimated $50 billion annually. The fix is well-understood: instrument your machines… Continue reading on Sno

Your credit score is one of the most important numbers in your financial life. It determines whether a bank will give you a loan, what… Continue reading on Medi

Your credit score is one of the most important numbers in your financial life. It determines whether a bank will give you a loan, what… Continue reading on Medi

Add two stabilisation patterns deep networks need: RMSNorm to keep activations bounded, and residual connections to give gradients a highway.

In software development, we often treat randomness as a black box. We call a method, get a value, and move on. However, in the Java… Continue reading on Medium

Production Core ML deployment needs more than dragging a model into Xcode. This article covers 5 battle-tested patterns: ML service abstraction, lazy model load

Machine Learning Driven Crop Yield Prediction with NLP-Based Insight is a smart agriculture system....

Why fixed 512-token splits cut tables in half, and a Python splitter that respects H2/H3, paragraphs, and sentences with a soft token budget.

Course : Natural Language Processing and Cognitive Computing Continue reading on Medium »

Course : Natural Language Processing and Cognitive Computing Continue reading on Medium »

In this post, we explore an automated solution that detects S3 events and triggers ingestion jobs while respecting service quotas and providing comprehensive mo

Artificial Intelligence (AI) is no longer just a concept of the future; it is already shaping the present. Continue reading on Medium »

Confidence thresholds look harmless — right up until they decide what gets ignored. Continue reading on Medium »

ML100 — Blog 2: A guide to moving from a “passive passenger” to an “informed operator” of Machine Learning. Continue reading on Medium »

seekdb 1.2.0 isn’t just another version bump. It’s the difference between “cool prototype”...

The Guide to my Forecasting Methodology With Chart Examples Continue reading on Medium »

From Data to Predictions Building an effective demand forecasting system might seem daunting, but breaking it down into manageable steps makes the process appro

Speaker diarization is the part of the pipeline that answers one simple question: who spoke when? If you work with meetings, interviews, podcasts, sales calls,

A full walkthrough of training a stacked LSTM on 2 million minutes of Coinbase data, the mistakes that cost me hours and hours, and how I… Continue reading on M

Ever wonder how a logistics company decides which of its 500 trucks takes which 50 packages? Continue reading on Medium »

Ever wonder how a logistics company decides which of its 500 trucks takes which 50 packages? Continue reading on Medium »

In my previous article, “A Practical Guide to Understanding Phishing, Analyzing Suspicious Emails, and Responding to Incidents,” I walked… Continue reading on M

We have a massive problem with how computers find things. If you have a few hundred photos on your phone, you can find one instantly, but trying to find one spe

AI and Machine Learning are everywhere right now. Starting from Netflix recommendations to self-driving cars, each and everything is… Continue reading on Medium

Graph Coloring and Greedy Algorithms — the quiet mathematics that ensures no student ever sits two exams at once. Continue reading on Medium »