Building Machine Learning Powered Applications: Going from Idea to Product

By:

Ameisen Emmanuel

Publication details: Shroff/O'Reilly 2020 IndiaEdition: 1stDescription: 260ISBN:

9789352139613

Subject(s):

Machine Learning

DDC classification:

005.74015 AME

Summary: 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 Source: https://www.amazon.in/Building-Machine-Learning-Powered-Applications/dp/9352139615/ref=sr_1_1?crid=3VMFHYXJC9AU7&dib=eyJ2IjoiMSJ9.2sasGNakDztkFveQVheePw.ONk-MOT59OcjpJYcxMhp35NHwCn9Q1Ex62yaJCuspds&dib_tag=se&keywords=9789352139613&qid=1709564247&sprefix=9789355421982%2Caps%2C257&sr=8-1

List(s) this item appears in: New Arrivals March 2024

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Main Library Analytics	Reference book	005.74015 AME (Browse shelf(Opens below))	Available		119208

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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

Source: https://www.amazon.in/Building-Machine-Learning-Powered-Applications/dp/9352139615/ref=sr_1_1?crid=3VMFHYXJC9AU7&dib=eyJ2IjoiMSJ9.2sasGNakDztkFveQVheePw.ONk-MOT59OcjpJYcxMhp35NHwCn9Q1Ex62yaJCuspds&dib_tag=se&keywords=9789352139613&qid=1709564247&sprefix=9789355421982%2Caps%2C257&sr=8-1

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