Books
|
Buy Now
Machine Learning with Python Cookbook - Practical solutions from preprocessing to deep learning (Paperback)
Loot Price: R1,446
Discovery Miles 14 460
|
|
Machine Learning with Python Cookbook - Practical solutions from preprocessing to deep learning (Paperback)
Expected to ship within 7 - 13 working days
|
This practical guide provides nearly 200 self-contained recipes to
help you solve machine learning challenges you may encounter in
your daily work. If you’re comfortable with Python and its
libraries, including pandas and scikit-learn, you’ll be able to
address specific problems such as loading data, handling text or
numerical data, model selection, and dimensionality reduction and
many other topics. Each recipe includes code that you can copy and
paste into a toy dataset to ensure that it actually works. From
there, you can insert, combine, or adapt the code to help construct
your application. Recipes also include a discussion that explains
the solution and provides meaningful context. This cookbook takes
you beyond theory and concepts by providing the nuts and bolts you
need to construct working machine learning applications. You’ll
find recipes for: Vectors, matrices, and arrays 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 Support
vector machines (SVM), naïve Bayes, clustering, and neural
networks Saving and loading trained models
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
March 2018 |
Authors: |
Chris Albon
|
Dimensions: |
233 x 181 x 25mm (L x W x T) |
Format: |
Paperback
|
Pages: |
300 |
ISBN-13: |
978-1-4919-8938-8 |
Categories: |
Books
|
LSN: |
1-4919-8938-6 |
Barcode: |
9781491989388 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.