Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba 3.49 € Zbirno mesto 3.49 € Zbirno mesto 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Data Science

Name: Data Science
Brand: MIT Press Ltd
SKU: 18186328
Price: 14.07 EUR
Availability: InStock
Author: John D. Kelleher
ISBN: 9780262535434

John D. Kelleher

Brendan Tierney

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 18186328

Založba MIT Press Ltd, april 2018

The goal of data science is to improve decision making through the analysis of data. Today data scie... Celoten opis

Koda Libristo: 18186328

34 b

14.07 €

Na zalogi pri dobavitelju Odposlali bomo v 9-15 dneh

30 dni za vračilo blaga

Drugi so kupili tudi

Deep Learning John D. Kelleher

Mehka

14.07 €

Python For Data Science Vasiliev

Mehka

38.27 €

Data Science & Big Data Analytics - Discovering, A nalyzing, Visualizing and Presenting Data EMC Education Services

Trda

57.21 €

Machine Learning, revised and updated edition Ethem Alpaydin

Mehka

14.07 €

Getting Started with SQL Thomas Nield

Mehka

33.62 €

The Model Thinker Scott E. Page

Mehka

14.47 €

Artificial Intelligence Michael Negnevitsky

Mehka

109.88 €

Sapiens Yuval Noah Harari

Mehka

11.33 €

The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.