T10 - Machine Learning

7 Dezembro 2018, 13:00 • Sara C. Madeira

What is Machine Learning ? 

Why use Machine Learning ? 

Types of Machine Learning Systems

- Supervised versus Unsupervised versus Semisupervised versus Reinforcement Learning

- Batch and Online Learning

- Instance-Based Versus Model-Based Learning

Main Challenges of Machine Learning 

- Insufficient Quantity of Training Data

 - Non-representative Training Data

 - Poor-Quality Data

 - Irrelevant Features

 - Overfitting/Underfitting the Training Data

 Testing and Validating

T9 - Data Mining

30 Novembro 2018, 13:00 • Sara C. Madeira

Data Mining: Overview.

Data Mining Concepts and Techniques: Introduction.

- Why Data Mining?  

- What Is Data Mining?

- What Kinds of Data Can Be Mined? 

-  What Kinds of Patterns Can Be Mined? 

-  Which Technologies Are Used? 

- Major Issues in Data Mining

S3.2 - Statistics

23 Novembro 2018, 13:00 • Maria Isabel Fraga Alves

Análise de dados acompanhada para uma base de dados de grande dimensão, com recurso ao R; as libraries:library(grid), library(ggplot2)library(plyr)library(readxl)

S3.1 - Statistics

16 Novembro 2018, 13:00 • Maria Isabel Fraga Alves

T3 - Data Science Toolkit

12 Outubro 2018, 13:00 • Sara C. Madeira

Overview on data science tools.