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Doing Data Science: Straight Talk from the Frontline

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Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.
Topics include: Statistical inference, exploratory data analysis, and the data science process; Algorithms; Spam filters, Naive Bayes, and data wrangling; Logistic regression; Financial modeling; Recommendation engines and causality; Data visualization; Social networks and data journalism; Data engineering, MapReduce, Pregel, and Hadoop.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.7 One d

Penerbit

Sebastopol : O\'Reilly Media., 2013

Deskripsi Fisik

xxvi, 380 hlm.: ilus.; 23 cm.

Bahasa

Indonesia

ISBN/ISSN

978-1-499-35865-5

Klasifikasi

005.7

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1

Subjek

Data Science
Data - Computer Systems

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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