Andres Mendez-Vazquez

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Andres Mendez-Vazquez has participated in several projects for the USA Army, Mexican Air Force, Oracle MDC, IBM Mexico, and several startups. As a professional of Machine Learning and Artificial Intelligence, his main task is to propose, design, develop and program algorithms for specific solutions on those areas. Additionally, he is an associate research professor at Cinvestav Guadalajara where he leads a Machine Learning Research Group. He got his PhD in Computer Engineering doing Machine Learning at the University of Florida, USA . His research and interests are in applying, designing and developing Machine Learning, Deep Learning and Computational Mathematics algorithms.

machine learning analysis of algorithms data structures artificial intelligence linear algebra algorithms neural networks complexity deep learning bayesian networks probability map bayesian estimation automatic differentiation backpropagation company profiles reinforcement learning deep heuristic search tensors data sciences unsupervised learning clustering k-means learning boosting statistical learning risk functional loss functions function approximation feature selection convex optimization data analytics semi-supervised unsupurvised supervised data mining logistic regression markov chains monte carlo math for intelligent systems b-trees divide and conquer skip list genetic algorithms schema theorem amortized analysis binary trees hash tables search median statistics linear sorting sorting dual problem lagrangian's

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Andres Mendez-Vazquez

08 Machine Learning Maximum Aposteriori

07 Machine Learning - Expectation Maximization

06 Machine Learning - Naive Bayes

05 Machine Learning - Supervised Fisher Classifier

04 Machine Learning - Supervised Linear Classifier

03 Machine Learning Linear Algebra

02 Machine Learning - Introduction probability

01 Machine Learning Introduction

26 Computational Geometry

25 String Matching

24 Multithreaded Algorithms

23 Matrix Algorithms

27 NP Completness

26 Computational Geometry

21 All Pairs Shortest Path

20 Single Source Shorthest Path

19 Minimum Spanning Trees

18 Basic Graph Algorithms

17 Disjoint Set Representation

15 B-Trees