Description: This book is a valuable resource for anyone interested in machine learning design patterns. It provides solutions to common challenges in data preparation, model building, and MLOps. The book is authored by Sara Robinson, Valliappa Lakshmanan, and Michael Munn and published by O'Reilly Media, Incorporated in 2020. The book is available in a trade paperback format and has 400 pages. It measures 9.3 inches in length, 7.8 inches in width, and 0.8 inches in height. The book is written in English and is categorized under Textbooks, Textbooks, Education & Reference, and Books & Magazines. It is an ideal addition to any enterprise applications, business intelligence tools, intelligence (Ai) & semantics, and general topic enthusiast's collection.
Price: 15 USD
Location: Chesterfield, Missouri
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PublishedOn: 2020-10-31
Book Title: Machine Learning Design Patterns: Solutions to Common Challenges
Topic: Design
Number of Pages: 400 Pages
Language: English
Publication Name: Machine Learning Design Patterns : Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Publisher: O'reilly Media, Incorporated
Subject: Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, General
Publication Year: 2020
Item Height: 0.8 in
Type: Textbook
Item Weight: 24.6 Oz
Subject Area: Computers, Science
Author: Sara Robinson, Valliappa Lakshmanan, Michael Munn
Item Length: 9.3 in
Item Width: 7.8 in
Format: Trade Paperback
