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Machine Learning Pocket Reference: Working with Structured Data in Python
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Located in: Rossendale, United Kingdom
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Item specifics
- Condition
- Book Title
- Machine Learning Pocket Reference: Working with Structured Data i
- Genre
- Artificial intelligence
- ISBN
- 9781492047544
- Publication Year
- 2019
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Machine Learning Pocket Reference: Working with Structured Data in Python
- Publisher
- O'reilly Media, INC International Concepts, USA
- Subject
- Technology, Computer Science
- Number of Pages
- 200 Pages
About this product
Product Information
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
Product Identifiers
Publisher
O'reilly Media, INC International Concepts, USA
ISBN-13
9781492047544
eBay Product ID (ePID)
2317645451
Product Key Features
Publication Name
Machine Learning Pocket Reference: Working with Structured Data in Python
Format
Paperback
Language
English
Subject
Technology, Computer Science
Publication Year
2019
Type
Textbook
Number of Pages
200 Pages
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Business seller information
Revival Books Ltd
Revival Books
Hall Carr Mill
Fallbarn Road
Rawtenstall
Lancashire
BB4 7NX
United Kingdom
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- GB 901578627
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- 07693718
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eBay item number:135051847551
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