Target New ArrivalsHalloweenClothing, Shoes & AccessoriesHome & DecorKitchen & DiningPatio, Lawn & GardenGroceryHousehold EssentialsBabyBeautyTarget Beauty StudioPersonal CareSports & OutdoorsPetsHealthWellnessSchool & Office SuppliesToys & GamesElectronics & TechVideo GamesBooks, Music & MoviesParty SuppliesGift IdeasGift CardsShop by CommunityTarget OpticalDealsClearanceNew ArrivalsBack to SchoolCollegeTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores
Feature Engineering for Machine Learning - by  Alice Zheng & Amanda Casari (Paperback) - 1 of 1

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)

$65.99

In Stock

Free & easy returns
Free & easy returns
Return this item by mail or in store within 90 days for a full refund.
Eligible for registries and wish lists
Save 5% every day
With Target Circle™ Card (restrictions apply)

About this item

Highlights

  • Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own.
  • About the Author: Alice is a technical leader in the field of Machine Learning.
  • 215 Pages
  • Computers, Data Science

Description



About the Book



"Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering."--Page 4 of cover.



Book Synopsis



Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features--the numeric representations of raw data--into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.

Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.

You'll examine:

  • Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms
  • Natural text techniques: bag-of-words, n-grams, and phrase detection
  • Frequency-based filtering and feature scaling for eliminating uninformative features
  • Encoding techniques of categorical variables, including feature hashing and bin-counting
  • Model-based feature engineering with principal component analysis
  • The concept of model stacking, using k-means as a featurization technique
  • Image feature extraction with manual and deep-learning techniques



About the Author



Alice is a technical leader in the field of Machine Learning. Her experience spans algorithm and platform development and applications. Currently, she is a Senior Manager in Amazon's Ad Platform. Previous roles include Director of Data Science at GraphLab/Dato/Turi, machine learning researcher at Microsoft Research, Redmond, and postdoctoral fellow at Carnegie Mellon University. She received a Ph.D. in Electrical Engineering and Computer science, and B.A. degrees in Computer Science in Mathematics, all from U.C. Berkeley.

Dimensions (Overall): 9.1 Inches (H) x 7.0 Inches (W) x .4 Inches (D)
Weight: .7 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 215
Genre: Computers
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Data Analytics
Format: Paperback
Author: Alice Zheng & Amanda Casari
Language: English
Street Date: May 8, 2018
TCIN: 1013620400
UPC: 9781491953242
Item Number (DPCI): 247-63-3359
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.4 inches length x 7 inches width x 9.1 inches height
Estimated ship weight: 0.7 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO, Alaska, Hawaii

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, delivered to the guest, delivered by a Shipt shopper, or picked up by the guest.
See the return policy for complete information.

Additional product information and recommendations

Discover more options

Skip to next section

Best-selling Adult Non-Fiction Books

Skip to next section

Get top deals, latest trends, and more.