Coursera_MachineLearning
0 likes205 views
Hector Cuesta Arvizu successfully completed an online machine learning course provided by Stanford University through Coursera on December 06, 2012. The course provided a broad introduction to machine learning, data mining, and statistical pattern recognition, covering several supervised and unsupervised learning methods as illustrated through case studies and applications. The statement of accomplishment does not confer an official Stanford University grade, credit, or degree.
1 of 1
Download to read offline
Ad
Recommended
Coursera ml 2016
Coursera ml 2016Sudipta Mukherjee
油
Sudipta Mukherjee successfully completed an online Machine Learning course provided by Stanford University through Coursera on November 12, 2013. The course provided a broad introduction to machine learning, data mining, and statistical pattern recognition through several supervised and unsupervised learning methods illustrated with case studies and applications. The course was offered online by Associate Professor Andrew Ng of the Computer Science Department at Stanford University.Mahmood_Oyewo_Technology_Entrepreneurship
Mahmood_Oyewo_Technology_EntrepreneurshipMahmood Oyewo
油
Mahmood Oyewo completed a free online course in technology entrepreneurship provided by Stanford University through Venture Lab. The course was taught by Professor Chuck Eesley and covered material related to entrepreneurship in technology fields. However, the online course does not confer any academic credit or degree from Stanford University.Transkrip Nilai
Transkrip NilaiIvan Jessu Kosasih
油
Ivan Jessu Kosasih's unofficial academic record from Monash University shows that he is studying a Bachelor of Science in Biotechnology and Bachelor of Science in Medical Bioscience. He has completed a specialization in Biotechnology. The record lists the units he has completed between 2013-2015, the marks and grades received. It calculates his Grade Point Average as 2.458 and Weighted Average Mark as 66.395 for the combined courses. Articulo de cudaHector Cuesta Arvizu
油
Este documento explica c坦mo programar directamente para la GPU utilizando CUDA. CUDA permite ejecutar kernels (funciones) de forma paralela en miles de hilos simult叩neos. Un kernel se divide en una malla de bloques de hilos, donde cada bloque se ejecuta en un procesador de la GPU. El documento incluye un ejemplo Hola Mundo en CUDA y concluye que programar para GPU puede acelerar algoritmos que analizan grandes cantidades de datos.Big Data, Big Flops: The gag reel of algorithms
Big Data, Big Flops: The gag reel of algorithmsJesus Ramos
油
The document discusses the pitfalls of data science when programmers lack proper statistics education, highlighting several infamous failures such as biased algorithms and inaccurate predictions. It emphasizes the need for programmers to improve their statistical skills and understand business language to effectively contribute to data analytics. Recommendations include studying statistics, focusing on process improvement, and immersing oneself in the business environment.Machine Learning For OrganizationsJesus Ramos
油
El documento presenta a Jes炭s Ramos, ingeniero de software y econometrista con experiencia en machine learning, abordando sus logros y perspectivas sobre la anal鱈tica en organizaciones. Discute la importancia de la preparaci坦n en matem叩ticas y estad鱈sticas para desarrolladores interesados en machine learning, as鱈 como los riesgos asociados con la mala implementaci坦n de modelos. Adem叩s, resalta diversas aplicaciones de machine learning en la industria y concluye con recomendaciones para quienes buscan iniciarse en este campo.Mexican Landscape of DS & AI
Mexican Landscape of DS & AIJesus Ramos
油
This document provides advice on continuing data science and AI education through various options like online courses, academic programs, and professional groups. It acknowledges challenges like a lack of data scientists in Mexico and firms implementing data science projects incorrectly. However, it argues Mexico must become a data science and AI hub to remain economically competitive as automation increases and other countries specialize. Specific recommendations include pursuing a full academic program, building an independent master's with MOOCs, and joining data science communities and groups in Mexico.Coursera ml 2016
Coursera ml 2016Venkateshwaran Balasubramanian
油
Venkateshwaran B successfully completed an online Machine Learning course provided by Stanford University through Coursera on November 12, 2013. The course provided a broad introduction to machine learning, data mining, and statistical pattern recognition through several supervised and unsupervised learning methods illustrated with case studies and applications. The statement acknowledges completion of the online course but does not confer a Stanford grade, credit, or degree.ML NG cert
ML NG certAnubhav Gupta
油
Anubhav successfully completed the online Machine Learning course provided by Stanford University through Coursera in December 2012. The course, taught by Associate Professor Andrew Ng, required students to watch lectures, review questions, and complete programming assignments to finish. However, this online course does not confer an official Stanford grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Mohamed Farahat
油
This document is a statement of accomplishment certifying that Mohamed Ahmed and Mohamed Farahad successfully completed an online Machine Learning course provided by Stanford University through Coursera. To pass the course, students had to watch lectures, review questions, and complete programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science department.Coursera ml 2014
Coursera ml 2014Wilson Ndirangu
油
Ndirangu Wilson successfully completed the online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and finish programming assignments for the online Machine Learning material.MachineLearningCertificateLax
MachineLearningCertificateLaxLaxmidhar Mohanty
油
Laxmidhar Mohanty successfully completed an online Machine Learning course provided by Stanford University through Coursera in September 2014. The course, taught by Associate Professor Andrew Ng of Stanford's Computer Science Department, required students to watch lectures, review questions, and complete programming assignments to successfully finish. This statement of accomplishment does not confer an official Stanford grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Haoran Wang
油
This document is a statement of accomplishment certifying that Haoran Wang successfully completed the online Machine Learning course provided by Stanford University through Coursera. To pass the course, students had to watch lectures, answer questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department.Coursera ml 2014
Coursera ml 2014Royston Monteiro
油
Royston Monteiro completed an online Machine Learning course provided by Stanford University through Coursera. To successfully complete the course, students had to watch lectures, review questions, and finish programming assignments. The statement acknowledges Monteiro's completion of the online course but does not confer an official Stanford grade, credit, or degree.'Coursera certificate v1-1521150013
'Coursera certificate v1-1521150013Shubham Varshney
油
Shubham Varshney completed an online Machine Learning course provided by Stanford University through Coursera on March 10, 2013. To successfully complete the course, students were required to watch lectures, review questions, and complete programming assignments. The certificate was issued by Associate Professor Andrew Ng of the Computer Science Department at Stanford University.Coursera ml 2016
Coursera ml 2016Pradeep Venkatesan
油
Pradeep Venkatesan successfully completed the online Machine Learning course provided by Stanford University through Coursera on September 30, 2014. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and complete programming assignments. This statement does not confer an official Stanford University grade, credit, or degree to Pradeep Venkatesan.Coursera ml 2015
Coursera ml 2015Prahlad Modi
油
Prahlad Modi successfully completed an online Machine Learning course provided by Stanford University through Coursera on March 10, 2013. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and complete programming assignments. This statement does not confer an official Stanford University grade, credit, or degree to Prahlad Modi.get_certificate
get_certificateAlexander Stevens
油
Alexander F Stevens successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree to Alexander F Stevens.Coursera machine learning 2016
Coursera machine learning 2016Annette Taylor
油
Annette Taylor successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. To pass the course, students had to watch lectures, answer questions, and finish programming assignments. The certificate was signed by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.Coursera ml 2015
Coursera ml 2015Manish Dalwani, PhD
油
Manish Dalwani successfully completed an online Machine Learning course provided by Stanford University through Coursera in December 2014. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement acknowledges Manish's completion of the online course but does not confer an official Stanford grade, credit, or degree.Coursera ml 2015
Coursera ml 2015Peter Jambor
油
Peter Jambor successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford University grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Anand Muglikar
油
Anand Muglikar successfully completed the online Machine Learning course provided by Stanford University through Coursera in June 2014. The course, taught by Associate Professor Andrew Ng of Stanford's Computer Science Department, required students to watch lectures, review questions, and complete programming assignments to finish. This statement acknowledges Anand's completion of the online course but does not confer an official Stanford grade, credit, or degree.Coursera ml 2015
Coursera ml 2015Akshay Pratap Singh
油
Akshay Pratap Singh successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree upon Singh.Coursera ml 2015
Coursera ml 2015Al French
油
Al French successfully completed the online Machine Learning course provided by Stanford University through Coursera on September 30, 2014. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford University grade, credit, or degree.Coursera ml 2016
Coursera ml 2016Manuel Constantinidis
油
Manuel Constantinidis successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree to Manuel.Coursera ml 2015
Coursera ml 2015Peter Thesling
油
Peter Thesling successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford grade, credit, or degree to Peter Thesling.MachineLearning_Certificate
MachineLearning_CertificateSandi Pohorec
油
Sandi Pohorec completed an online machine learning course provided by Stanford University through Coursera on December 17, 2014. To successfully complete the course, students had to watch lectures, review questions, and finish programming assignments. The statement of accomplishment does not confer an official Stanford grade, credit, or degree.Ia for fintech
Ia for fintechHector Cuesta Arvizu
油
This document discusses examples of artificial intelligence applications for fintech and retail startups. It summarizes using AI for coaching/advising clients, assessing client risk profiles, valuation models, pricing, credit approval/risk, customer churn/segmentation, contract analysis, and fraud detection. It then provides more detail on using decision trees and random forests for a credit approval classification model, including data acquisition, preprocessing, normalization, model training, evaluation using cross-validation and a confusion matrix, and achieving 87.8% accuracy. It recommends a machine learning book for further learning.Presentation rvp imagesimilarityHector Cuesta Arvizu
油
El documento presenta un m辿todo no supervisado para la b炭squeda de similitud en im叩genes utilizando comparaci坦n el叩stica n-dimensional y el algoritmo Fast Dynamic Time Warping (FDTW). El procedimiento, probado en un sub-set del dataset Caltech256, muestra resultados prometedores en la clasificaci坦n de im叩genes sin necesidad de entrenamiento previo. Las conclusiones destacan la precisi坦n del m辿todo y su utilidad para buscar similitudes en grandes conjuntos de im叩genes no anotadas.More Related Content
Similar to Coursera_MachineLearning (20)
Coursera ml 2016
Coursera ml 2016Venkateshwaran Balasubramanian
油
Venkateshwaran B successfully completed an online Machine Learning course provided by Stanford University through Coursera on November 12, 2013. The course provided a broad introduction to machine learning, data mining, and statistical pattern recognition through several supervised and unsupervised learning methods illustrated with case studies and applications. The statement acknowledges completion of the online course but does not confer a Stanford grade, credit, or degree.ML NG cert
ML NG certAnubhav Gupta
油
Anubhav successfully completed the online Machine Learning course provided by Stanford University through Coursera in December 2012. The course, taught by Associate Professor Andrew Ng, required students to watch lectures, review questions, and complete programming assignments to finish. However, this online course does not confer an official Stanford grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Mohamed Farahat
油
This document is a statement of accomplishment certifying that Mohamed Ahmed and Mohamed Farahad successfully completed an online Machine Learning course provided by Stanford University through Coursera. To pass the course, students had to watch lectures, review questions, and complete programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science department.Coursera ml 2014
Coursera ml 2014Wilson Ndirangu
油
Ndirangu Wilson successfully completed the online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and finish programming assignments for the online Machine Learning material.MachineLearningCertificateLax
MachineLearningCertificateLaxLaxmidhar Mohanty
油
Laxmidhar Mohanty successfully completed an online Machine Learning course provided by Stanford University through Coursera in September 2014. The course, taught by Associate Professor Andrew Ng of Stanford's Computer Science Department, required students to watch lectures, review questions, and complete programming assignments to successfully finish. This statement of accomplishment does not confer an official Stanford grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Haoran Wang
油
This document is a statement of accomplishment certifying that Haoran Wang successfully completed the online Machine Learning course provided by Stanford University through Coursera. To pass the course, students had to watch lectures, answer questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department.Coursera ml 2014
Coursera ml 2014Royston Monteiro
油
Royston Monteiro completed an online Machine Learning course provided by Stanford University through Coursera. To successfully complete the course, students had to watch lectures, review questions, and finish programming assignments. The statement acknowledges Monteiro's completion of the online course but does not confer an official Stanford grade, credit, or degree.'Coursera certificate v1-1521150013
'Coursera certificate v1-1521150013Shubham Varshney
油
Shubham Varshney completed an online Machine Learning course provided by Stanford University through Coursera on March 10, 2013. To successfully complete the course, students were required to watch lectures, review questions, and complete programming assignments. The certificate was issued by Associate Professor Andrew Ng of the Computer Science Department at Stanford University.Coursera ml 2016
Coursera ml 2016Pradeep Venkatesan
油
Pradeep Venkatesan successfully completed the online Machine Learning course provided by Stanford University through Coursera on September 30, 2014. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and complete programming assignments. This statement does not confer an official Stanford University grade, credit, or degree to Pradeep Venkatesan.Coursera ml 2015
Coursera ml 2015Prahlad Modi
油
Prahlad Modi successfully completed an online Machine Learning course provided by Stanford University through Coursera on March 10, 2013. The course was taught by Associate Professor Andrew Ng of the Computer Science Department at Stanford University. To pass the course, students had to watch lectures, review questions, and complete programming assignments. This statement does not confer an official Stanford University grade, credit, or degree to Prahlad Modi.get_certificate
get_certificateAlexander Stevens
油
Alexander F Stevens successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree to Alexander F Stevens.Coursera machine learning 2016
Coursera machine learning 2016Annette Taylor
油
Annette Taylor successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. To pass the course, students had to watch lectures, answer questions, and finish programming assignments. The certificate was signed by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.Coursera ml 2015
Coursera ml 2015Manish Dalwani, PhD
油
Manish Dalwani successfully completed an online Machine Learning course provided by Stanford University through Coursera in December 2014. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement acknowledges Manish's completion of the online course but does not confer an official Stanford grade, credit, or degree.Coursera ml 2015
Coursera ml 2015Peter Jambor
油
Peter Jambor successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford University grade, credit, or degree.Coursera ml 2014
Coursera ml 2014Anand Muglikar
油
Anand Muglikar successfully completed the online Machine Learning course provided by Stanford University through Coursera in June 2014. The course, taught by Associate Professor Andrew Ng of Stanford's Computer Science Department, required students to watch lectures, review questions, and complete programming assignments to finish. This statement acknowledges Anand's completion of the online course but does not confer an official Stanford grade, credit, or degree.Coursera ml 2015
Coursera ml 2015Akshay Pratap Singh
油
Akshay Pratap Singh successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree upon Singh.Coursera ml 2015
Coursera ml 2015Al French
油
Al French successfully completed the online Machine Learning course provided by Stanford University through Coursera on September 30, 2014. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford University grade, credit, or degree.Coursera ml 2016
Coursera ml 2016Manuel Constantinidis
油
Manuel Constantinidis successfully completed an online Machine Learning course provided by Stanford University through Coursera on December 17, 2014. The course was taught by Associate Professor Andrew Ng of Stanford's Computer Science Department. To pass the course, students had to watch lectures, review questions, and finish programming assignments. This statement does not confer an official Stanford grade, credit, or degree to Manuel.Coursera ml 2015
Coursera ml 2015Peter Thesling
油
Peter Thesling successfully completed the online Machine Learning course provided by Stanford University through Coursera in May 2015. The course was taught by Associate Professor Andrew Ng and required students to watch lectures, review questions, and complete programming assignments to finish. This statement of accomplishment does not confer an official Stanford grade, credit, or degree to Peter Thesling.MachineLearning_Certificate
MachineLearning_CertificateSandi Pohorec
油
Sandi Pohorec completed an online machine learning course provided by Stanford University through Coursera on December 17, 2014. To successfully complete the course, students had to watch lectures, review questions, and finish programming assignments. The statement of accomplishment does not confer an official Stanford grade, credit, or degree.More from Hector Cuesta Arvizu (9)
Ia for fintech
Ia for fintechHector Cuesta Arvizu
油
This document discusses examples of artificial intelligence applications for fintech and retail startups. It summarizes using AI for coaching/advising clients, assessing client risk profiles, valuation models, pricing, credit approval/risk, customer churn/segmentation, contract analysis, and fraud detection. It then provides more detail on using decision trees and random forests for a credit approval classification model, including data acquisition, preprocessing, normalization, model training, evaluation using cross-validation and a confusion matrix, and achieving 87.8% accuracy. It recommends a machine learning book for further learning.Presentation rvp imagesimilarityHector Cuesta Arvizu
油
El documento presenta un m辿todo no supervisado para la b炭squeda de similitud en im叩genes utilizando comparaci坦n el叩stica n-dimensional y el algoritmo Fast Dynamic Time Warping (FDTW). El procedimiento, probado en un sub-set del dataset Caltech256, muestra resultados prometedores en la clasificaci坦n de im叩genes sin necesidad de entrenamiento previo. Las conclusiones destacan la precisi坦n del m辿todo y su utilidad para buscar similitudes en grandes conjuntos de im叩genes no anotadas.Simulaci坦n De Enfermedades Infecciosas En Grandes Poblaciones A Trav辿s De Un ...Hector Cuesta Arvizu
油
Este documento presenta un simulador de enfermedades infecciosas en grandes poblaciones utilizando un aut坦mata celular estoc叩stico paralelizado por GPU con C-CUDA. Se describe el modelo epidemiol坦gico SEIRS y se compara el rendimiento del simulador en CPU y GPU, encontrando un aumento significativo en la velocidad de procesamiento. Las conclusiones sugieren que la simulaci坦n es una herramienta 炭til para entender la propagaci坦n de enfermedades y proponen trabajos futuros para mejorar el modelo.Simulaci坦n De Enfermedades Infecciosas En Grandes Poblaciones A Trav辿s De Un ...Hector Cuesta Arvizu
油
El documento presenta un modelo de simulaci坦n para estudiar la propagaci坦n de enfermedades infecciosas en grandes poblaciones utilizando un aut坦mata celular estoc叩stico paralelizado por GPU. Se enfatiza la comparaci坦n de rendimiento entre las implementaciones en CPU y GPU, mostrando un aumento significativo en la velocidad de procesamiento. Adem叩s, se discuten las conclusiones y futuros trabajos como la integraci坦n de diferentes modelos de contacto y aspectos demogr叩ficos.Presentacion: Modelado para estudio de brotes epid辿micos usando un Aut坦mata C...Hector Cuesta Arvizu
油
El documento presenta un modelo estoc叩stico para el estudio de brotes epid辿micos utilizando aut坦matas celulares y el modelo epidemiol坦gico SEIR, que describe la propagaci坦n de enfermedades infecciosas. Se discuten las ventajas de simular diferentes escenarios de contagio para dise単ar estrategias de intervenci坦n, incluyendo opciones de vacunaci坦n. Adem叩s, se desarroll坦 un software para simular brotes epid辿micos que permite visualizar los resultados y aplicar diversas estrategias de intervenci坦n.Presentacion simulaepirocc2011Hector Cuesta Arvizu
油
El documento presenta un modelo para el estudio de brotes epid辿micos utilizando un aut坦mata celular estoc叩stico global. Se discuten los modelos matem叩ticos SEIR y el desarrollo de un simulador que permite analizar y visualizar la propagaci坦n de enfermedades infecciosas, as鱈 como la implementaci坦n de estrategias de vacunaci坦n. Adem叩s, se mencionan conclusiones sobre la eficacia de la simulaci坦n en la comprensi坦n de la din叩mica de contagio y propuestas para futuros trabajos que integren m叩s variables.Outbreak Simulator First Presentation
Outbreak Simulator First PresentationHector Cuesta Arvizu
油
Hector Cuesta-Arvizu presented an epidemic and endemic outbreak simulator at the University of North Texas on October 24, 2011. The simulator uses a global stochastic cellular automata approach to model the spread of infectious diseases. It incorporates SEIR and SEIRS disease models and allows simulation of different intervention strategies like vaccination programs. The simulator was developed using C# and allows visualization of epidemic and endemic curves during outbreak simulations.LastWeekPresentation
LastWeekPresentationHector Cuesta Arvizu
油
1. The document presents a mathematical model examining the effects of disease on seasonally reproducing host populations. The model divides the host population into four classes and uses differential equations to model changes in population densities over time.
2. The model predicts a variety of long-term multi-year dynamics depending on parameters like reproductive season length and disease effects on fecundity. These include disease dying out, endemic disease, and regular or irregular multi-year population cycles.
3. Analysis of the model found that slow recovery of reproductive function and reduced fecundity post-recovery can induce multi-year cycles. The model also predicted delayed density-dependent reproduction timing and seroprevalence in cases of disease-Cellular Automata- Dengue Fever
Cellular Automata- Dengue FeverHector Cuesta Arvizu
油
The document discusses the development of an automata network simulator for modeling the spread of urban dengue fever, emphasizing its significance due to the high incidence of the disease globally. It introduces cellular automata as a method for simulating the dynamics of dengue transmission and describes the software's components, including modules for specification, simulation, visualization, and analysis. The findings aim to enhance understanding of dengue epidemiology and inform future research, especially concerning seasonality and geographical factors.Simulaci坦n De Enfermedades Infecciosas En Grandes Poblaciones A Trav辿s De Un ...Hector Cuesta Arvizu
油
Simulaci坦n De Enfermedades Infecciosas En Grandes Poblaciones A Trav辿s De Un ...Hector Cuesta Arvizu
油
Presentacion: Modelado para estudio de brotes epid辿micos usando un Aut坦mata C...Hector Cuesta Arvizu
油
Ad
Coursera_MachineLearning
- 1. Online Course Statement of Accomplishment DECEMBER 06, 2012 HECTOR CUESTA ARVIZU HAS SUCCESSFULLY COMPLETED A FREE ONLINE OFFERING OF THE FOLLOWING COURSE PROVIDED BY STANFORD UNIVERSITY THROUGH COURSERA INC. Machine Learning This course provided a broad introduction to machine learning, datamining, and statistical pattern recognition. Course content included several methods in supervised learning and unsupervised learning, illustrated through case studies and applications. ASSOCIATE PROFESSOR ANDREW NG COMPUTER SCIENCE DEPARTMENT STANFORD UNIVERSITY PLEASE NOTE: SOME ONLINE COURSES MAY DRAW ON MATERIAL FROM COURSES TAUGHT ON CAMPUS BUT THEY ARE NOT EQUIVALENT TO ON-CAMPUS COURSES. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT STANFORD UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A STANFORD UNIVERSITY GRADE, COURSE CREDIT OR DEGREE, AND IT DOES NOT VERIFY THE IDENTITY OF THE STUDENT.