Description: About this Item The item is a book Paperback The Author Name is Peter Gedeck The Title is Practical Statistics for Data Scientists : 50 Essential Concepts Using R and Python Condition New Other Comments Pages Count - 360. Category - Computers Product Description - Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data 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 167505196
Price: 107.93 USD
Location: US
End Time: 2024-12-22T12:36:14.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
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: Computers
Brand: O'Reilly Media, Inc, USA
Weight: 0.59
Style: NA
Title: Practical Statistics for Data Scientists 50 Essential Concepts
Release Title: Practical Statistics for Data Scientists 50 Essential Concepts
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Practical Statistics for Data Scientists 50 Essential Concept
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Practical Statistics for Data Scientists 50 Essential Concept
UPC: 9781492072942
EAN: 9781492072942
ISBN: 9781492072942
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 360 Pages
Language: English
Publication Name: Practical Statistics for Data Scientists : 50+ Essential concepts Using Rand Python
Publisher: O'reilly Media, Incorporated
Subject: Databases / Data Warehousing, Data Processing, Databases / Data Mining, Mathematical Analysis
Publication Year: 2020
Item Height: 0.9 in
Item Weight: 22.3 Oz
Type: Textbook
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Author: Peter Bruce, Peter Gedeck, Andrew Bruce
Item Width: 7 in
Format: Trade Paperback
