September 2024
Intermediate to advanced
410 pages
14h 46m
Spanish
book
Aprendizaje automático fiable
by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood
Content preview from Aprendizaje automático fiable
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Capítulo 6. Equidad, privacidad y sistemas éticos de LD
Este trabajo se ha traducido utilizando IA. Agradecemos tus opiniones y comentarios: translation-feedback@oreilly.com
Este capítulo está dedicado a temas relacionados con consideraciones éticas y obligaciones legales a la hora de crear o implementar sistemas de ML. No podemos ofrecer una fuente exhaustiva de orientación sobre estos temas, pero este recurso puede orientarte en la dirección correcta. Al final de este capítulo, deberías tener una buena noción de las consideraciones éticas fundamentales para la implementación del ML, así como del lenguaje concreto y las categorías conceptuales que te permitirán empezar a formarte más a fondo en los ámbitos más inmediatamente aplicables a tu propio trabajo.
Nota
Nota del editor: Cuando elaboramos la lista de temas sobre lo que la gente de MLOps necesita saber de verdad, las cuestiones de imparcialidad, privacidad y ética en los sistemas de IA y ML ocupaban los primeros puestos de la lista. Sin embargo, también sabíamos que era difícil que un grupo de autores con fuertes afiliaciones a la industria ofreciera puntos de vista verdaderamente imparciales sobre estas complejas cuestiones. Por ello, invitamos a Aileen Nielsen, autora de Practical Fairness (O'Reilly, 2020), a contribuir a este capítulo de forma independiente. Aunque le dimos nuestra opinión sobre los borradores para mayor claridad, los puntos de vista aquí expresados son enteramente suyos, y ella tuvo ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.