Data Science, Mathematics, Digital Society
Data Science in a Math-Less Digital Society
In an increasingly digital and data-driven world, the importance of data science cannot be overstated. Data science, by itself, carries a "push to analyse“ button though, that lets the analyst forget about the „math behind the machine learning tools“
We cover a few examples, where data science needs math in order to be understood and applied.
By the end of this talk, attendees will gain a fresh perspective on data science's role in a math-less digital society. They will leave with practical insights, tools, and strategies to leverage data effectively, fostering a culture of data-driven decision-making that transcends mathematical barriers.
Wolfgang Karl HÄRDLE attained his Dr. rer. nat. in Mathematics at Universität Heidelberg in 1982 and in 1988 his habilitation at Universität Bonn. He is Ladislaus von Bortkiewicz Professor of Statistics at Humboldt-Universität zu Berlin and the director of the Sino German Graduate School (洪堡大学 + 厦门大学) IRTG1792 on “High dimensional non stationary time series analysis”. He directs IDA Institute for Digital Assets,
University of Economic Studies, Bucharest, RO. His research focuses on data analytics, dimension reduction and quantitative finance. He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN. He has professional experience in financial engineering, S.M.A.R.T. (Specific, Measurable, Achievable, Relevant, Timely) data analytics, machine learning and cryptocurrency markets. He has created the www.quantlet.com platform, a cryptocurrency index, CRIX www.royalton-crix.com He is 玉山学者 (Yushan Scholar), web page hu.berlin/wkh