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The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using statistical models to analyse data, writing about the results of those models, drawing conclusions from them and putting the model into production.

  • Geräte: PC
  • ohne Kopierschutz
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  • Größe: 36.99MB
Produktbeschreibung
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using statistical models to analyse data, writing about the results of those models, drawing conclusions from them and putting the model into production.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Dr. Rohan Alexander is an assistant professor at the University of Toronto, jointly appointed in the Faculty of Information and the Department of Statistical Sciences. He is also the assistant director of CANSSI Ontario, a senior fellow at Massey College, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society, and a co-lead of the DSI Thematic Program in Reproducibility. He holds a PhD in Economics from the Australian National University with a focus on economic history.