Papers We Love Bucharest is happy to announce the meetup #12 in which we'll present and discuss the original papers of Principal Component Analysis (PCA) as we call it today in machine learning, a very beautiful and useful algorithm! It is a nice opportunity to review together its mathematical background from both modern and historical perspective and see some code demos!
Principal Component Analysis - the original papers
K. Pearson, "On lines and planes of closest fit to systems of points in space (http://stat.smmu.edu.cn/history/pearson1901.pdf)", Philosophical Magazine, Vol. 2, No. 6. (1901), pp. [masked]
As usual, we'll not limit the presentation to the original papers.
Adrian Florea (https://www.linkedin.com/in/adrianflorea) is a machine learning enthusiast, currently taking a sabbatical year to prepare a change in his career towards machine learning and data science. He has 24 years of professional software experience, 7 of which having worked abroad, in Milan, Italy. He is co-founder of the Italian Solution Architects User Group (http://www.guisa.it) and a Microsoft Community Influencer (2008).
Looking forward to seeing you all.