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Accuracy Is Not Enough: Five Metrics Stories
Machine Learning

Accuracy Is Not Enough: Five Metrics Stories

Accuracy is the easiest metric to understand and one of the easiest to be fooled by. Five small, worked examples …

The MLHub Posts Organization

3 days, 15 hours ago • 14 min read

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The Doorstep Greeter: What We Build, and the Rules for Filming People
Machine Learning

The Doorstep Greeter: What We Build, and the Rules for Filming People

An introduction to a twelve-part project that builds a face-recognising doorbell camera on a Raspberry Pi, and a careful look …

M

MLHub Deep Learning Organization

5 days, 15 hours ago • 20 min read

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Human in the Loop
Machine Learning
Part 9 of 11 · AI Agents Fundamentals

Human in the Loop

How to design checkpoints where a person reviews, approves or corrects what an agent wants to do, and how to …

M

MLHub Agents & Robotics Organization

1 week, 1 day ago • 19 min read

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Building a Data Portfolio That Gets Interviews
Career Development

Building a Data Portfolio That Gets Interviews

A practical guide to building a data science or analytics portfolio that demonstrates real judgment, not just tutorial completion, including …

Niranjan Singh

2 weeks, 1 day ago • 15 min read

0 0 47
This startup builds AI agents whose job is to get scammed
News

This startup builds AI agents whose job is to get scammed

Apate.ai deploys fleets of AI agents that pose as potential victims to keep fraudsters talking, then mines those conversations for …

The MLHub News Organization

2 weeks, 2 days ago • 6 min read

0 0 65
The Machine Learning Interview: What Is Really Asked
Career Development

The Machine Learning Interview: What Is Really Asked

A practical breakdown of what machine learning interviews actually test, with worked examples covering coding, ML fundamentals, case studies, system …

Niranjan Singh

2 weeks, 3 days ago • 21 min read

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Workflows Versus Agents
Machine Learning
Part 4 of 11 · AI Agents Fundamentals

Workflows Versus Agents

A clear line between code that decides what happens next and a model that decides for itself, with worked examples …

M

MLHub Agents & Robotics Organization

2 weeks, 5 days ago • 22 min read

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Tools and Function Calling
Machine Learning
Part 3 of 11 · AI Agents Fundamentals

Tools and Function Calling

How a language model goes from predicting text to reliably triggering real actions: the mechanics of tool definitions, function calling …

M

MLHub Agents & Robotics Organization

2 weeks, 6 days ago • 17 min read

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A 12-Month Study Plan for Machine Learning
Career Development

A 12-Month Study Plan for Machine Learning

A month-by-month roadmap for learning machine learning from first principles to a job-ready portfolio, with concrete projects, time budgets, and …

Niranjan Singh

3 weeks, 2 days ago • 18 min read

0 0 111
Microsoft's Agent Lightning v1.0 Trains AI Agents Without Rebuilding Them First
News

Microsoft's Agent Lightning v1.0 Trains AI Agents Without Rebuilding Them First

A new open-source framework from Microsoft Research Asia lets developers apply reinforcement learning directly to the same agent code they …

The MLHub News Organization

3 weeks, 2 days ago • 5 min read

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Data Scientist, ML Engineer or AI Engineer: What Each Role Does
Career Development

Data Scientist, ML Engineer or AI Engineer: What Each Role Does

A plain-language guide to what data scientists, machine learning engineers and AI engineers actually do day to day, with a …

Niranjan Singh

3 weeks, 4 days ago • 17 min read

0 0 66
ML
News

ThinkingBox Grades AI Agents on What They Actually Change in the Database, Not What They Say

A new benchmark from Microsoft and Hugging Face checks AI agents by inspecting backend database state after 20 repeated runs, …

The MLHub News Organization

3 weeks, 5 days ago • 5 min read

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