Order Total (1 Item Items):
Shipping Destination:
Feature Engineering Machine Learning (139 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (139)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (105)
- As New, Fine or Near Fine (17)
- Very Good or Good (17)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (36)
- Not Print on Demand (111)
Language (4)
Free Shipping
Seller Location
Seller Rating
-
paperback. Condition: Good.
-
Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists
Language: English
Published by O'Reilly Media, Incorporated, 2018
ISBN 10: 1491953241 ISBN 13: 9781491953242
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
-
Condition: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
-
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
-
Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
-
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Paperback. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
-
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
-
Soft cover. Condition: New. This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you will clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies. This book also presents some best practices that will help you to be industry-ready. This book focuses on how to practice data science techniques while learning their concepts using Python and Jupyter. This book is a complete answer to the most common question that how can you get started with Data Science instead of explaining Mathematics and Statistics behind the Machine Learning Algorithms.
-
Unlocking Hidden Patterns: Advanced Feature Engineering for Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 13.93
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
High-performance Algorithmic Trading using Machine Learning: Building automated trading strategies with AutoML and feature engineering (English Editio (Paperback or Softback)
Language: English
Published by Bpb Publications 6/30/2025, 2025
ISBN 10: 9365893895 ISBN 13: 9789365893892
Paperback or Softback. Condition: New. High-performance Algorithmic Trading using Machine Learning: Building automated trading strategies with AutoML and feature engineering (English Editio. Book.
-
The Art of Feature Engineering: Essentials for Machine Learning
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
paperback. Condition: Very Good. The Art of Feature Engineering: Essentials for Machine Learning This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
-
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.
-
The Art of Feature Engineering: Essentials for Machine Learning
Language: English
Published by Cambridge University Press -, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
-
Condition: As New. Unread book in perfect condition.
-
-
-
-
-
-
Condition: As New. Unread book in perfect condition.
-
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.
-
Python Feature Engineering Cookbook: A complete guide to crafting powerful features for your machine learning models
Published by Packt Publishing, 2024
paperback. Condition: Good.
-
-
Feature Engineering for Machine Learning (Paperback)
Language: English
Published by O'Reilly Media, Sebastopol, 2018
ISBN 10: 1491953241 ISBN 13: 9781491953242
Paperback. Condition: new. Paperback. 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 featuresthe numeric representations of raw datainto 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.Youll examine:Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transformsNatural text techniques: bag-of-words, n-grams, and phrase detectionFrequency-based filtering and feature scaling for eliminating uninformative featuresEncoding techniques of categorical variables, including feature hashing and bin-countingModel-based feature engineering with principal component analysisThe concept of model stacking, using k-means as a featurization techniqueImage feature extraction with manual and deep-learning techniquesAbout the AuthorAlice 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. Principal Product Manager + Data Scientist for Concur Labs at SAP Concur, designing prototypes, interfaces and future tech for travel and expense. Amanda experiments with projects and programs to make machine learning more accessible. Her side projects include volunteering with the NASA Datanauts and getting outside as much as possible. 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 featuresthe numeric representations of raw datainto formats for machine-learning models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
The Art of Feature Engineering: Essentials for Machine Learning
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
-
Art of Feature Engineering : Essentials for Machine Learning
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Condition: As New. Unread book in perfect condition.
-
Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
-
