ISBN: 9781492047544 - machine learning pocket reference: working with structured data in python (15 Ergebnisse)

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: 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.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: 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.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Zustand: New. In English.

Paperback. Zustand: Brand New. revised edition. 303 pages. 7.00x4.50x0.75 inches. In Stock.

Zustand: New. 2019. Revised. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - 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.…

Zustand: NEW.

Zustand: New. 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 reso.

Taschenbuch. Zustand: Neu. Machine Learning Pocket Reference | Working with Structured Data in Python | Matt Harrison | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | O'Reilly Media | EAN 9781492047544 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …