Skip to content

Opening book details…

Can I read Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition on EtoBox?

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition by Kyle Gallatin, Chris Albon is a nonfiction available to read on EtoBox.

What is Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition about?

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: • Vectors, matrices, and arrays • Working with data from CSV, JSON, SQL, databases, cloud storage, and other sources • Handling numerical and categorical data, text, images, and dates and times • Dimensionality reduction using feature extraction or feature selection • Model evaluation and selection • Linear and logical regression, trees and forests, and k-nearest neighbors • Supporting vector machines (

Who reads Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kyle Gallatin, Chris Albon
Publisher
O'Reilly Media, Incorporated
Published
2023
Language
EN
ISBN
9781098135690
Category
nonfiction
Subjects
Computer Science, Language Learning, Science

Other editions & translations