Description: About this Item The item is a book Paperback The Author Name is Cathy O'Neill The Title is Doing Data Science Condition New Other Comments Pages Count - 405. Category - Mathematics Product Description - 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167486536
Price: 76.18 USD
Location: US
End Time: 2024-11-22T12:30:17.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Mathematics
Brand: O'Reilly Media, Inc, USA
Weight: 0.55
Style: NA
Title: Doing Data Science
Release Title: Doing Data Science
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Doing Data Science
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Doing Data Science
UPC: 9781449358655
EAN: 9781449358655
ISBN: 9781449358655
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 405 Pages
Publication Name: Doing Data Science : Straight Talk from the Frontline
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2013
Item Height: 1.1 in
Subject: Mathematical & Statistical Software, Data Processing, Databases / Data Mining
Item Weight: 24.1 Oz
Type: Textbook
Subject Area: Computers
Author: Cathy O'Neil, Rachel Schutt
Item Length: 9 in
Item Width: 6 in
Format: Trade Paperback