Sumários

LAB 12: Bayesian Networks

22 maio 2019, 15:00 • Eugénio Ribeiro

Exercises about Bayesian Networks.

23: Applications

21 maio 2019, 09:30 • Andreas Miroslaus Wichert

Text Classification, tf.idf, Entropy, Natural Language Processing and Word Embedding, NPL and TensorFlow, Image Classification and Tensorflow, TensorFlow Implementation, Transfer Learning and TensorFlow, Examples of Machine Learning at DEI, Information Systems, Deconvolutional Neural Network, ML and Automated Reasoning (INESC-ID), Machine Learning and Dialog Systems (INESC-ID), Speech Classification (INESC-ID), Data Science at INESC-ID.

LAB 12: Bayesian Networks

21 maio 2019, 08:00 • Eugénio Ribeiro

Exercises about Bayesian Networks.

22. Stochastic Methods

17 maio 2019, 12:30 • Andreas Miroslaus Wichert

Markov Chain, Metropolis Algorithm, Simulated Annealing, Gibbs Sampling, Boltzmann Machine, Deep Belief Nets, Quantum Annealing

Lab 11: SVM

17 maio 2019, 11:00 • Andreas Miroslaus Wichert

Dual Problem, Quadratic Program, CVXOPT.SOLVERS.QP example, Programming examples, Classification Examples