Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product
PDF, ePUB

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

Content

I. Find the Correct ML Approach
1. From Product Goal to ML Framing
2. Create a Plan

II. Build a Working Pipeline
3. Build Your First End-to-End Pipeline
4. Acquire an Initial Dataset

III. Iterate on Models
5. Train and Evaluate Your Model
6. Debug Your ML Problems
7. Using Classifiers for Writing Recommendations

IV. Deploy and Monitor
8. Considerations When Deploying Models
9. Choose Your Deployment Option
10. Build Safeguards for Models
11. Monitor and Update Models

Download Building Machine Learning Powered Applications: Going from Idea to Product PDF or ePUB format free


Free sample

Download in .PDF format



Download in .ePUB format


Add comments
Прокомментировать
Введите код с картинки:*
Кликните на изображение чтобы обновить код, если он неразборчив
Copyright © 2019