Building Machine Learning Powered Applications

Released on by Emmanuel Ameisen
preview-18

  • Building Machine Learning Powered Applications Book Detail

  • Author : Emmanuel Ameisen
  • Release Date : 2020-01-21
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Pages : 267
  • ISBN 13 : 1492045063
  • File Size : 41,41 MB
DOWNLOAD BOOK

Building Machine Learning Powered Applications by Emmanuel Ameisen PDF Summary

Book 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

Disclaimer: www.yourbookbest.com does not own Building Machine Learning Powered Applications books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Building Machine Learning Pipelines

Building Machine Learning Pipelines

File Size : 58,58 MB
Total View : 4058 Views
DOWNLOAD

Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Ha

Machine Learning Engineering in Action

Machine Learning Engineering in Action

File Size : 45,45 MB
Total View : 4561 Views
DOWNLOAD

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.

What Should We Do with Our Brain?

What Should We Do with Our Brain?

File Size : 12,12 MB
Total View : 3679 Views
DOWNLOAD

Recent neuroscience, in replacing the old model of the brain as a single centralized source of control, has emphasized plasticity,the quality by which our brain