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Statistics for data scientist: an introduction to probability, statistics, and data analysis

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Data science is a rapidly growing field. While there is still a raging academic debate on the exact position of data science in between—or encapsulating—statistics, machine learning, and artificial intelligence, the number of data science programs offered at schools around the world is growing rapidly (Donoho 2017). It has to, since data scientists are among the most sought after people on the job market today and there is a strong need for people who are trained and well educated in this discipline. Whatever your view is on data science, it is hard to deny that an understanding of statistics is useful, if not necessary, for any successful data scientist. This book aims to provide an initial understanding of statistics meant for data scientists.

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Ketersediaan

Informasi Detail

Judul Seri

Undergraduate Topics in Computer Science

No. Panggil

310 MAU s

Penerbit

Switzerland : Springer., 2022

Deskripsi Fisik

341 hlm

Bahasa

English

ISBN/ISSN

9783030105310

Klasifikasi

310

Tipe Isi

text

Tipe Media

-

Tipe Pembawa

-

Edisi

Ed. 1

Subjek

Teknik Informatika
FT
ebook

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Maurits Kaptein

Versi lain/terkait

Lampiran Berkas

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