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Hi there! πŸ‘‹

kai_and_pau

Hi there! πŸ‘‹

I am Pau, the one with the beard πŸ§”πŸ», the little one is my son Kai.

I am a mathematician who loves learning new things and solving problems. And this whole new world is full of them.

But what is learning without sharing? To me, not much 😊. Hence, datamachines.

For the last 4 years, I’ve been working as a freelancer on different Machine Learning projects, and the journey’s been inspiring.

So, I decided to start with a course on Reinforcement Learning, and so far I have an impression it’s doing well.

The idea is to share what I’ve learned and give value to the community.

So, thank you guys for following, it makes me very happy.

Stick around and get in touch, I am always up for new ideas and problems.

If you want to stay up to date with my latest courses and blogs:

πŸ‘‰πŸ½ Subscribe to the datamachines newsletter.

πŸ‘‰πŸ½ Follow me on Medium.

Keep on learning 🧠❀️

Pau Labarta Bajo's Projects

bytewax-hopsworks-example icon bytewax-hopsworks-example

Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)

cd4ml-workshop icon cd4ml-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

hands-on-rl icon hands-on-rl

Free course that takes you from zero to Reinforcement Learning PRO πŸ¦ΈπŸ»β€πŸ¦ΈπŸ½

nba-prediction icon nba-prediction

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

paulescu.github.io icon paulescu.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

quix-streams icon quix-streams

Quix Streams - A library for data streaming and Python Stream Processing

real-time-technical-indicators icon real-time-technical-indicators

Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.

serverless-ml-course icon serverless-ml-course

Serverless ML Course for building AI-enabled Prediction Services from models and features

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