Caso precise, selecionamos alguns conteúdos que podem te ajudar a completar este desafio. Eles estão ordenados por nível iniciante, introdutório e avançado. Bons estudos!
In this video, I want to start to talk about classification problems, where the variable y that you want to predict is valued. We'll develop an algorithm called logistic regression, which is one of the most popular and most widely used learning algorithms today.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Interactive guide for visually understanding Markov Chains
A complete mathematical introduction to Markov Chains and Hidden Models.