This document discusses machine learning topics including Google Cloud Platform, Teachable Machine, and neural networks. It provides an introduction to machine learning in education and how tools like Teachable Machine allow users to build machine learning models within seconds by training on their own data to classify images, sound, and more. The document aims to demonstrate machine learning applications that can help address social, humanitarian, and education challenges by transforming data into real value through these techniques.

1. Machine Learning in
Education
Fermin Blanco
GDG-support@google.com
@luillyfe

2. Table of contents
1. Introduction
2. Google Cloud Computing
3. Machine Learning in GCP
4. Teachable Machine
5. Neural Networks
6. Demo
7. Resources

3. Introduction
A community for people around technology that
can help us shape a better future
Google Developers
Google Developer Group Cúcuta

4. Who we are? GDG
GDG Chapter Cúcuta!

5. About the speaker
GDG
@luillyfe
GDG Chapter Cúcuta!

6. gdg.community.dev gives our organizers a platform built
specifically for our communities with full control over the
features and the ability to steer the development as needed
for the future. GDGs have grown to a point where they need
a space built for them specifically.
The New Platform

7. Cloud Computing
Computing: Resources on
the cloud that allow us build
faster, secure applications.
Machine learning: Apply IA
or ML to social, humanitarian
or education challenges.
Teachable machine: within
seconds, build ML models.

8. Machine learning
There are a lot of data that can be transform in real
value for social, humanitarian and educational
purposes.

9. Teachable machine

10. Neural Networks

11. ●
● https://teachablemachine.withgoogle.com/
● https://teachablemachine.withgoogle.com/models/lHuESMzB-/
Resources

12. Thank you!