Items related to Feature Engineering for Machine Learning: Principles...
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
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Search results for Feature Engineering for Machine Learning: Principles...
Seller Image
Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 27728161-n
Quantity: 3 available
Stock Image
Feature Engineering for Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # WO-9781491953242
Quantity: 6 available
Stock Image
MASTERING FEATURE ENGINEERING
Seller: Speedyhen, London, United Kingdom
Seller rating 5 out of 5 stars
Condition: NEW. Seller Inventory # NW9781491953242
Quantity: 2 available
Stock Image
Feature Engineering for Machine Learning
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # WO-9781491953242
Quantity: 6 available
Stock Image
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781491953242_new
Quantity: 8 available
Stock Image
Feature Engineering for Machine Learning
Published by
O'Reilly Media, Inc, USA, 2018
ISBN 10: 1491953241
ISBN 13: 9781491953242
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 490. Seller Inventory # B9781491953242
Quantity: 6 available
Seller Image
Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 27728161
Quantity: 3 available
Stock Image
Feature Engineering for Machine Learning
Seller: medimops, Berlin, Germany
Seller rating 5 out of 5 stars
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Seller Inventory # M01491953241-G
Quantity: 1 available
Stock Image
Feature Engineering for Machine Learning
Seller: medimops, Berlin, Germany
Seller rating 5 out of 5 stars
Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Seller Inventory # M01491953241-V
Quantity: 2 available
Stock Image
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Seller: SecondSale, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00086178212
Quantity: 1 available