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Detalhe da Disciplina
Curso: Pós-Graduação em Data Science for Finance
Unidade curricular: Machine Learning in Finance
Semestre: Primavera
Número de créditos: 7,5
Número de horas de aula por semana: 2.00
Objetivos da unidade curricular:

- Understand the design principles of neural networks;

- Understand the concept of activation function;

- Understand the backpropagation algorithm for training a neural network;

- Being able to build a neural network to solve classification tasks;

- Being able to use Keras or similar libraries to build a Neural Network;

- Understand the convolution operator and the idea behind convolutional neural network;

- Understand the main principles of recurrent neural network; 

- Understand LSTM and how they can be applied to counteract vanishing gradient problem.

- Being able to apply one of the deep model presented to solve financial classification or regression tasks.

Requisitos de frequência:

N/A

Língua de ensino: Português. Em caso de existirem alunos ou professores estrangeiros, as aulas serão dadas em Inglês.

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