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Machine Learning Pocket Reference: Working with Structured Data in Python

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Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
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
Author
Matt Harrison
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
Author
Matt Harrison
Number of Pages
200 Pages

Additional Product Features

Title_Author
Matt Harrison
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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:enohP70272260710
:liamEku.oc.skooblaviver@skoob
Value added tax number:
  • GB 901578627
Trade registration number:
  • 07693718
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