000			02026 a2200181 4500
008			240304b |||||||| |||| 00| 0 eng d
020			_a9789352139613
082			_a005.74015 _bAME
100			_aAmeisen Emmanuel
245			_aBuilding Machine Learning Powered Applications: Going from Idea to Product
250			_a1st
260			_bShroff/O'Reilly _c2020 _aIndia
300			_a260
520			_aLearn 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
650			_aMachine Learning
906			_aBusiness Analytics
942			_c1 _2ddc
999			_c98464 _d98464