AI and Machine Learning For Coders: A Programmer's Guide to Artificial Intelligence - Tapa blanda

Moroney, Laurence

 
9781492078197: AI and Machine Learning For Coders: A Programmer's Guide to Artificial Intelligence
Tapa blanda
ISBN 10: 1492078190 ISBN 13: 9781492078197
Editorial: O'Reilly Media, 2020

Sinopsis

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.

You'll learn:

  • How to build models with TensorFlow using skills that employers desire
  • The basics of machine learning by working with code samples
  • How to implement computer vision, including feature detection in images
  • How to use NLP to tokenize and sequence words and sentences
  • Methods for embedding models in Android and iOS
  • How to serve models over the web and in the cloud with TensorFlow Serving

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Laurence Moroney leads AI Advocacy at Google. His goal is to educate the world of software developers in how to build AI systems with Machine Learning. He's a frequent contributor to the TensorFlow YouTube channel at youtube.com/tensorflow, a recognized global keynote speaker and author of more books than he can count, including several best-selling science fiction novels, and a produced screenplay. He's based in Sammamish, Washington where he drinks way too much coffee.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
O'Reilly Media
Año de publicación
2020
Idioma
Inglés
ISBN 10 
1492078190
ISBN 13 
9781492078197
Encuadernación
Tapa blanda
Número de páginas
390
Contacto del fabricante
no disponible
Persona responsable
no disponible