Description: Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers-including experienced practitioners and novices alike-will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
Price: 54.43 USD
Location: East Hanover, New Jersey
End Time: 2024-12-06T23:19:52.000Z
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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
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EAN: 9781492045113
UPC: 9781492045113
ISBN: 9781492045113
MPN: N/A
Book Title: Building Machine Learning Powered Applications: Go
Number of Pages: 257 Pages
Publication Name: Building Machine Learning Powered Applications : Going from Idea to Product
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2020
Subject: Data Modeling & Design, Intelligence (Ai) & Semantics, General, Computer Vision & Pattern Recognition
Item Height: 0.7 in
Type: Textbook
Item Weight: 14.5 Oz
Author: Emmanuel Ameisen
Subject Area: Computers, Science
Item Length: 9.1 in
Item Width: 7 in
Format: Trade Paperback
