Thread by @svpino

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: youtube.com/channel/UC12Lq…

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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

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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

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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!