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.
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).
Im Projekt „Creating 4.0“ der Schulz Systemtechnik GmbH erarbeiteten vier Studierende einen Anwendungsfall für den Einsatz von Datenbrillen. Exemplarisch wurde die Unterstützung eines manuellen Mischvorgangs realisiert. Dafür wurde eine Software erstellt, die eine elektronische Waage, ein Prozessleitsystem sowie eine Google Glass miteinander vernetzt. Neben diesem Projektbericht wird allgemein beleuchtet, ob und wie Datenbrillen im industriellen Umfeld eingesetzt werden können.
1. Online Course
Statement of Accomplishment
DECEMBER 17, 2014
MANUEL CONSTANTINIDIS
HAS SUCCESSFULLY COMPLETED A FREE ONLINE OFFERING OF THE FOLLOWING COURSE
PROVIDED BY STANFORD UNIVERSITY THROUGH COURSERA INC.
Machine Learning
Congratulations! You have successfully completed the online
Machine Learning course (ml-class.org). To successfully complete
the course, students were required to watch lectures, review
questions and complete programming assignments.
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.
