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Name: Gabriel Barbosa
Type: User
Company: @ericsson
Bio: Data Engineer
Location: Stockholm, Sweden
Name: Gabriel Barbosa
Type: User
Company: @ericsson
Bio: Data Engineer
Location: Stockholm, Sweden
Adaptive Linear Neuron (ADALINE).
Example from the book: "Continuous delivery with docker and jenkins" - chapter 4
The purpose of this task is to present how to extract and parse data from a given source to be inserted into a database. Then, make the data available from the database via a REST API.
This work shows how to check if a graph is Eulerian and, after that, how to present an Eulerian circuit for such graph. The Hierholzer algorithm is used to perform this task.
Implementation of Extreme Learning Machine (ELM) neural network for classification and regression problems.
Example data file for exercises in QUT's Big Data: Statistical Inference and Machine Learning MOOC on FutureLearn
Implementation of the Gray-Level Co-occurrence Matrix (GLCM) algorithm submitted to the challenge PPGER (Graduate Program in Renewable Energies - IFCE) for undergraduate students.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Implementation of a simple ETL to extract data from IBM DB2 to GCP Bigquery.
Solutions to Michael Sipser's Introduction to the Theory of Computation Book (3rd Edition).
repository to test some basic concepts of jenkins pipelines
Repository for my personal studies of Kafka, based on the book "Kafka the definitive Guide".
Implementation of the Optimum-Path Forest Classifier
In this project, we will extract product information from different shop websites. The object is to create a price calculator for saving money spent on grocery shopping.
Project to test react concepts. Using github public API.
Final work from the discipline of Artificial Intelligence. Implementation of algorithms to solve the 2x2 Rubik's cube using heuristic search methods (A*, IDA*), as well as exhaustive search methods (DFS, BFS...).
Repository contains the implementation of some search algorithms (DFS, BFS, A *, Greedy, Uniform Cost) applied to the problems of "Map of Romania" and "Vacuum Cleaner", described in the book of Artificial Intelligence, Peter Norvig, Stuart J. Russell.
Using Google Cloud services to build an ETL to extract data from twitter API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.