27 lessons in Machine Learning for Computer Vision. ~5 minutes each.

For free!

In a month from today, your future might look very different!

Here are the important details:

I'll go through the lessons myself. One every day, and I'll report my progress using the #MLU hashtag.

This is the first lesson, so welcome to Day 1 of #MLU! Feel free to follow along.

Amazon decided to create a YouTube channel full of Machine Learning content from its internal "ML University."

Available to everyone!

I'm taking the Computer Vision course. Most lessons are around 5 minutes (with a few exceptions.)

Channel: https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw

As of today, the channel contains videos for three different courses:

Computer Vision
Natural Language Processing
Tabular Data

I'm starting with Computer Vision.

Day 1 of #MLU goes over the topics that will be covered during the course:

Intro to ML and CV
Training Neural Networks and CNNs
Classic CNN architectures
Project: Image classification
Object detection
Semantic segmentation
Transfer learning and AutoML

By the end of the course, you'll have:

Fundamental understanding of ML
Practical knowledge of Computer Vision

Specifically:

Data preprocessing
Common ML algorithms
How to evaluate a model
Model training
Common CV applications

Something really cool: you'll get some hands-on with Amazon SageMaker, which is @awscloud's environment to build and deploy Machine Learning applications.

I spend a lot of time every day using SageMaker. It's pretty cool! You won't want to miss this.

How much can you get out of 5 minutes every day?

I'll find out and I'll let you know.

But you don't have to wait and you can join me now.

Let's do this!