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Articles, learning paths and news on AI, machine learning and data science.

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Learning paths

Tutorial series: every part of a topic, in order.

All learning paths
Learning path · 6 parts

Computer Vision From Zero

by MLHub Labs · 6 parts · about 109 min · beginner

How computers see, from the first pixel: cameras, colour, OpenCV, filters, edges, masks and video, with three small projects to build on a laptop …

Start path
Learning path · 2 parts

The Jev Developer Learning Path: From Concept to Production System 1 AI

by Gurpreet Deol · 2 parts · about 8 min · intermediate

Master TypeSafe AI’s Jev—a non-generative, decision-only System 1 model. Learn how Jev uses sub-100ms inference, zero structural hallucinations, and Brier-calibrated confidence scores to handle …

Start path
Learning path · 11 parts

AI Agents Fundamentals

by MLHub Labs · 11 parts · about 226 min · intermediate

What an agent is, how the loop of thinking and acting works and when a simple workflow is the better choice.

Start path
Learning path · 13 parts

Computer Vision With Convolutional Networks

by MLHub Labs · 13 parts · about 308 min · intermediate

How machines see: convolutions, the classic architectures, transfer learning, detection and segmentation.

Start path
Learning path · 2 parts

Python for Data Work

by Niranjan Singh · 2 parts · about 34 min · beginner

The Python a data analyst or ML engineer really needs, taught with data tasks instead of toy puzzles.

Start path
Learning path · 3 parts

Machine Learning Fundamentals

by Gurpreet Deol · 3 parts · about 41 min · beginner

The ideas every later path relies on: data, models, loss, generalization and the workflow of a project.

Start path
Learning path · 12 parts

Statistics From Zero for Data Work

by Niranjan Singh · 12 parts · about 226 min · beginner

The statistics every data role uses daily, explained from the first idea with small real datasets. No formula is used before it is motivated.

Start path
Learning path · 10 parts

The Impression Playbook: Speak, Connect and Persuade

by Gurpreet Deol · 10 parts · about 420 min · beginner

Ten long, practical lessons on making a strong impression when you speak: introducing yourself, talking to strangers, body language, voice, listening, persuasive wording, storytelling, …

Start path

Articles

Edges, Contours and Shapes
Computer Vision
Part 6 of 6 · Computer Vision From Zero

Edges, Contours and Shapes

Learn how OpenCV turns raw brightness changes into edges, how edges become contours, and how contours let you measure, count …

M

MLHub Deep Learning Organization

14 hours ago • 20 min read

0 0 15
Apple Intelligence finally arrives in China, but without the new Siri
News

Apple Intelligence finally arrives in China, but without the new Siri

Apple will bring a first wave of Apple Intelligence features to Chinese iPhones through an iOS 27.3 beta launching November …

The MLHub News Organization

21 hours ago • 4 min read

0 0 17
Hands-On: Train a YOLO Detector on a Custom Dataset
Computer Vision
Part 13 of 13 · Computer Vision With Convolutional Networks

Hands-On: Train a YOLO Detector on a Custom Dataset

Build a small labeled dataset from scratch, train a YOLOv8 model with the ultralytics library, evaluate it with real detection …

M

MLHub Deep Learning Organization

22 hours ago • 27 min read

0 0 21
Ten Data Leakage Mistakes and How to Catch Them
Data Science

Ten Data Leakage Mistakes and How to Catch Them

A practical tour of the ten most common ways test information sneaks into model training, with worked examples and concrete …

The MLHub Posts Organization

1 day, 14 hours ago • 17 min read

0 0 19
NVIDIA's Nemotron 3.5 Super VL Lands on AWS: One Model for Text, Images and Video Agents
News

NVIDIA's Nemotron 3.5 Super VL Lands on AWS: One Model for Text, Images and Video Agents

NVIDIA has added a 120-billion-parameter multimodal model, Nemotron 3.5 Super VL, to its open Nemotron family, and AWS has published …

The MLHub News Organization

1 day, 21 hours ago • 6 min read

0 0 27
Hands-On: An Agent in Plain Python, No Framework
Machine Learning
Part 11 of 11 · AI Agents Fundamentals

Hands-On: An Agent in Plain Python, No Framework

Build a working tool-using agent from scratch in plain Python: the loop, a tool registry, error handling, a human approval …

M

MLHub Agents & Robotics Organization

1 day, 22 hours ago • 30 min read

1 0 5
Hands-On: Fine-Tune a ResNet on Your Own Photos
Computer Vision
Part 12 of 13 · Computer Vision With Convolutional Networks

Hands-On: Fine-Tune a ResNet on Your Own Photos

A complete, runnable walkthrough of loading a pretrained ResNet18, replacing its head, fine-tuning it in two phases on an image-folder …

M

MLHub Deep Learning Organization

2 days, 14 hours ago • 29 min read

0 0 22
Filters and Blurs: Cleaning Up an Image
Computer Vision
Part 5 of 6 · Computer Vision From Zero

Filters and Blurs: Cleaning Up an Image

Learn how image filters work by sliding a small grid of numbers over every pixel, and see how box, Gaussian, …

M

MLHub Deep Learning Organization

2 days, 21 hours ago • 21 min read

0 0 13
AWS Publishes a Blueprint for Running AI Agents Safely Across a Whole Company
News

AWS Publishes a Blueprint for Running AI Agents Safely Across a Whole Company

Amazon Web Services has released a reference architecture that wraps Amazon Bedrock AgentCore in the governance, account isolation and release …

The MLHub News Organization

2 days, 21 hours ago • 5 min read

0 0 30
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, 14 hours ago • 14 min read

0 0 26
How Exowatt's fine-tuned small models outperformed frontier AI on solar-plant tasks
News

How Exowatt's fine-tuned small models outperformed frontier AI on solar-plant tasks

Energy-infrastructure startup Exowatt used Amazon SageMaker AI's serverless fine-tuning to build compact models for alarm triage and energy-market analysis that …

The MLHub News Organization

3 days, 21 hours ago • 6 min read

0 0 13
Getting Started With OpenCV: Reading, Showing and Saving Images
Computer Vision
Part 4 of 6 · Computer Vision From Zero

Getting Started With OpenCV: Reading, Showing and Saving Images

Learn how OpenCV represents pictures as NumPy arrays, and master the three basic moves every computer vision script starts with: …

M

MLHub Deep Learning Organization

3 days, 22 hours ago • 18 min read

0 0 45

Latest News

All news
  1. Apple Intelligence finally arrives in China, but without the new Siri

    21 hours ago • 4 min read

  2. NVIDIA's Nemotron 3.5 Super VL Lands on AWS: One Model for Text, Images and Video Agents

    1 day, 21 hours ago • 6 min read

  3. AWS Publishes a Blueprint for Running AI Agents Safely Across a Whole Company

    2 days, 21 hours ago • 5 min read

  4. How Exowatt's fine-tuned small models outperformed frontier AI on solar-plant tasks

    3 days, 21 hours ago • 6 min read

Popular Posts

Types of Data: Categorical, Ordinal, Discrete and Continuous

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0 likes • 125 views • 1 comment

AWS shows how to manage thousands of per-camera vision models with SageMaker SDK v3

4 days, 21 hours ago • 6 min read

0 likes • 68 views • 0 comments

Colour Spaces: RGB, HSV and Greyscale

5 days, 22 hours ago • 15 min read

0 likes • 71 views • 0 comments

Choosing a Framework, or None

6 days, 14 hours ago • 16 min read

0 likes • 66 views • 0 comments

Recent Activity

  • MLHub Deep Learning published Edges, Contours and Shapes

    14 hours ago

  • The MLHub News published Apple Intelligence finally arrives in China, but without the new Siri

    21 hours ago

  • MLHub Deep Learning published Hands-On: Train a YOLO Detector on a Custom Dataset

    22 hours ago

  • The MLHub Posts published Ten Data Leakage Mistakes and How to Catch Them

    1 day, 14 hours ago

  • The MLHub News published NVIDIA's Nemotron 3.5 Super VL Lands on AWS: One Model for Text, Imag…

    1 day, 21 hours ago

  • MLHub Agents & Robotics published Hands-On: An Agent in Plain Python, No Framework

    1 day, 22 hours ago

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