Libros importados hasta 50% OFF + Envío Gratis a todo USA  Ver más

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Effective Machine Learning Teams: Best Practices for ml Practitioners (in English)
Type
Physical Book
Language
English
Pages
300
Format
Paperback
ISBN13
9781098144630
Edition No.
1

Effective Machine Learning Teams: Best Practices for ml Practitioners (in English)

Tan David; Leung Ada; Colls David (Author) · Oreilly & Associates Inc · Paperback

Effective Machine Learning Teams: Best Practices for ml Practitioners (in English) - Tan David; Leung Ada; Colls David

Physical Book

$ 63.99

$ 79.99

You save: $ 16.00

20% discount
  • Condition: New
It will be shipped from our warehouse between Monday, July 08 and Tuesday, July 09.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Effective Machine Learning Teams: Best Practices for ml Practitioners (in English)"

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a practical and simple way. David Tan and Ada Leung from Thoughtworks show you how to apply time-tested software engineering skills and Lean delivery practices that will improve your effectiveness in ML projects. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help teams avoid common traps in the ML world, so you can iterate more quickly and reliably. With these techniques, data scientists and ML engineers can overcome friction and experience flow when delivering machine learning solutions. This book shows you how to: Apply engineering practices such as writing automated tests, containerizing development environments, and refactoring problematic code bases Apply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutions Design maintainable and evolvable ML solutions that allow you to respond to changes in an agile fashion Apply delivery and product practices to iteratively improve your odds of building the right product for your users Use intelligent code editor features to code more effectively

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews