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.
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).
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).
Machine Learning by Stanford University on Coursera. Certificate earned on Fe...
Coursera ml 2016
1. Online Course
Statement of Accomplishment
NOVEMBER 12, 2013
VENKATESHWARAN B
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
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 PARTICIPANT 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 PARTICIPANT.
