Doing Data Science

Straight Talk from the Frontline

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

Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Cathy O'Neil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist on the New York start-up scene, writes a blog at, and is involved with Occupy Wall Street. Rachel Schutt is a Senior Statistician at Google Research in the New York office and adjunct assistant professor at Columbia University. She earned a PhD from Columbia University in statistics, and masters degrees in mathematics and operations research from the Courant Institute and Stanford University, respectively. Her statistical research interests include modeling and analyzing social networks, epidemiology, hierarchical modeling and Bayesian statistics. Her education-related research interests include curriculum design.

… weiterlesen
In den Warenkorb




Einband Taschenbuch
Seitenzahl 406
Erscheinungsdatum 30.11.2013
Sprache Englisch
ISBN 978-1-4493-5865-5
Verlag O'Reilly UK Ltd.
Maße (L/B/H) 22,8/15,3/2,7 cm
Gewicht 594 g
Buch (Taschenbuch, Englisch)
inkl. gesetzl. MwSt.
Versandfertig innerhalb 48 Stunden
In den Warenkorb


Andere Kunden interessierten sich auch für

  • 39777229
    Data Science and Big Data Analytics
    von Emc Education Services
    Buch (gebundene Ausgabe)
  • 36421951
    Think Bayes
    von Allen B. Downey
    Buch (Taschenbuch)
  • 39962481
    Data Science at the Command Line
    von Jeroen Janssens
    Buch (Taschenbuch)
  • 39649126
    Advanced R
    von Hadley (RStudio Wickham
    Buch (Taschenbuch)
  • 31266182
    Think Twice: Harnessing the Power of Counterintuition
    von Michael J. Mauboussin
    Buch (Taschenbuch)
  • 37409863
    Python Pocket Reference
    von Mark Lutz
    Buch (Taschenbuch)
  • 29358095
    English G Lighthouse - Allgemeine Ausgabe / Band 1: 5. Schuljahr - Workbook mit Audios online
    von Gwen Berwick
    Schulbuch (Taschenbuch)
  • 39781818
    Practical Machine Learning - A New Look at Anomaly Detection
    von Ted Dunning
    Buch (Taschenbuch)
  • 46187801
    The Data Science Handbook
    von Field Cady
    Buch (gebundene Ausgabe)
  • 39574556
    Think Stats 2e
    von Allen B. Downey
    Buch (Taschenbuch)


Es wurden noch keine Bewertungen geschrieben.

Wird oft zusammen gekauft

Doing Data Science - Cathy O'Neil, Rachel Schutt

Doing Data Science

von Cathy O'Neil , Rachel Schutt

Buch (Taschenbuch, Englisch)
Learning Spark - Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia

Learning Spark

von Holden Karau

Buch (Taschenbuch)



inkl. gesetzl. MwSt.

Alle kaufen