Propostas sem aluno

DEI - FCTUC
Gerado a 2021-11-28 07:50:01 (Europe/Lisbon).
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Titulo Estágio

DS4NP 2.0: Machine Learning Microservices for the Data Science for Non-Programmers Platform

Áreas de especialidade

Sistemas Inteligentes

Engenharia de Software

Local do Estágio

DEI-FCTUC

Enquadramento

The leading consulting company McKinsey estimates that there will be a shortage of data scientists to enable organizations to explore the full potential of big data. By 2018, the United States alone will face a shortage of 140,000 to 190,000 professionals with strong analytical skills with the know-how to analyze big data to make effective decisions. This shortage will be more dramatic in Portugal since, in contrast to US universities that provide Data Science degrees for several years (e.g., at Berkeley and Carnegie
Mellon University), Portuguese universities are just making the first steps.

This shortage of professionals cannot be mitigated easily, since training students to become data scientists requires time and resources to teach skills from diverse knowledge areas such as Computer Science, Statistics, Business, and Data Visualization.

Hence, the objective of the FCT DataScience4NP project is to explore the use of visual programming paradigms to enable non-programmers to be part of the Data Science workforce. More specifically, the objective of the DataScience4NP project is to build Cloud Native Applications (CNA) for Data Science using microservices.

Objetivo

This thesis will continue the current version of the DS4NP cloud and microservices-based machine learning platform (based on technologies such as Kubernetes, Docker and Netflix Conductor, for orchestration). In particular, the main goal is to adapt the platform to support Big Data algorithms, resort to frameworks such as Apache Spark or Google TensorFlow, besides populating it with a large set of classical algorithms throughout the complete machine learning pipeline. Optimization issues pertaining to data exchange issues is also to be addressed, as well as thorough usability testing.

Plano de Trabalhos - Semestre 1

- Review of the state of the art and technologies on container technologies and machine learning algorithms
- Analysis of the current DS4NP platform
- Requirement analysis (including both functional and non-function requirements)
- System architecture
- Writing of the preliminary thesis

Plano de Trabalhos - Semestre 2

- System development
- System testing
- Writing of the final thesis
- Writing of a scientific article

Condições

The student might receive a scholarship from the FCT DataScience4NP project (745€ / month).

Orientador

Rui Pedro Paiva, Filipe Aráujo, Jorge Cardoso
ruipedro@dei.uc.pt 📩