👷 ML Engineering - buckman

Shridipa/Elo-Learn: Elo Learn is an adaptive learning prototype built with FastAPI and Streamlit. The code is meant to show how student mastery, concept reasoning, recommendation logic and review scheduling can work together in one package.

🔌APIs Code

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Latest technical articles & videos.

🤖Large Language Models

certdepot.net·

More US firms turn to China’s DeepSeek over pricey Silicon Valley AI

🇨🇳Chinese Technology

scmp.com

··Hacker News, r/SCMPauto

Renting Compute From Three Clouds Is the Default Now

📊Compute Markets Blog

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Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

🧠Behavioral Science

dzone.com·

How to Become a Data Scientist in 2026

🤖AI Blog

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Better Data Beats Better Algorithms: Before Changing the Model, Change the Data

🤖AI Blog

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Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

☁️GCP

dzone.com·

Day 4: Create a Standard ML Project Structure

📓Jupyter Notebooks Blog

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I built a self-hosted AI workspace for macOS — meet Odysee

🧠LLM Tooling Blog

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I Built a Fraud Detection System That Catches 99.76% of Fraud — Here's Everything I Learned

🤖AI Blog

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NVIDIA’s new model on SageMaker, a CLI for AI pipelines, UK AI rules, and a worm threat

⌨️CLI Tools Blog

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Understanding Linear Regression: A Foundation of Machine Learning

📐Regression Analysis Blog

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Data Engineer vs. Data Scientist: What's the Difference? (2026 Guide for Beginners)

⚙️Data Engineering Blog

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When your data model is the bottleneck: lessons from Medium’s feature store

KVarN, Cost.dev, headroom — the week the agent runtime bill got itemized

Article Series: Securing the AI Stack: From Model to Production

When Feature Importance Lies: Target Encoding at the Noise Floor

Modern BSA/AML compliance on Databricks

Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart

Shridipa/Elo-Learn: Elo Learn is an adaptive learning prototype built with FastAPI and Streamlit. The code is meant to show how student mastery, concept reasoning, recommendation logic and review scheduling can work together in one package.

Latest technical articles & videos.

More US firms turn to China’s DeepSeek over pricey Silicon Valley AI

Renting Compute From Three Clouds Is the Default Now

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

How to Become a Data Scientist in 2026

Better Data Beats Better Algorithms: Before Changing the Model, Change the Data

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Day 4: Create a Standard ML Project Structure

I built a self-hosted AI workspace for macOS — meet Odysee

I Built a Fraud Detection System That Catches 99.76% of Fraud — Here's Everything I Learned

NVIDIA’s new model on SageMaker, a CLI for AI pipelines, UK AI rules, and a worm threat

Understanding Linear Regression: A Foundation of Machine Learning

Data Engineer vs. Data Scientist: What's the Difference? (2026 Guide for Beginners)