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  2. Daniela Witten - Wikipedia

    en.wikipedia.org/wiki/Daniela_Witten

    She was elected as a Fellow of the American Statistical Association in 2020. [19] She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience".

  3. Thomas M. Cover - Wikipedia

    en.wikipedia.org/wiki/Thomas_M._Cover

    Thomas M. Cover [ˈkoʊvər] (August 7, 1938 – March 26, 2012) was an American information theorist and professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University. He devoted almost his entire career to developing the relationship between information theory and statistics.

  4. Ben Taskar - Wikipedia

    en.wikipedia.org/wiki/Ben_Taskar

    Ben Taskar (March 3, 1977 – November 18, 2013) was a professor and researcher in the area of machine learning and applications to computational linguistics and computer vision. He was a Magerman Term Associate Professor for Computer and Information Science at University of Pennsylvania .

  5. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    On the one hand, there is widespread agreement that the Key Stage 4 curriculum is over-crowded and that the introduction of Statistics and Data Handling may have been at the expense of time needed for practising and acquiring fluency in core mathematical manipulations. Many in higher education mathematics and engineering departments take this view.

  6. Trevor Hastie - Wikipedia

    en.wikipedia.org/wiki/Trevor_Hastie

    He joined Stanford University in 1994 as Associate Professor in Statistics and Biostatistics. He was promoted to full Professor in 1999. During the period 2006–2009, he was the chair of the Department of Statistics at Stanford University. In 2013 he was named the John A. Overdeck Professor of Mathematical Sciences.

  7. Statistical learning theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_theory

    Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.

  8. Christopher D. Manning - Wikipedia

    en.wikipedia.org/wiki/Christopher_D._Manning

    Manning is the Thomas M. Siebel Professor in Machine Learning and a professor of Linguistics and Computer Science at Stanford University. He received a BA (Hons) degree majoring in mathematics, computer science, and linguistics from the Australian National University (1989) and a PhD in linguistics from Stanford (1994), under the guidance of ...

  9. Edward Y. Chang - Wikipedia

    en.wikipedia.org/wiki/Edward_Y._Chang

    Edward Y. Chang is a computer scientist, academic, and author.He is an adjunct professor of Computer Science at Stanford University, [1] and Visiting Chair Professor of Bioinformatics and Medical Engineering at Asia University, since 2019.