Brian Christian
Autor de Algorithms to Live By: The Computer Science of Human Decisions
Sobre El Autor
Brian Christian is the author of the acclaimed bestsellers The Most Human Human and Algorithms to Live By (with Tom Griffiths), which have been translated into nineteen languages. A visiting scholar at the University of California, Berkeley, he lives in San Francisco.
Obras de Brian Christian
Etiquetado
Conocimiento común
- Fecha de nacimiento
- 1984
- Género
- male
- Nacionalidad
- USA
- Lugar de nacimiento
- Wilmington, Delaware, USA
- Lugares de residencia
- San Francisco, California, USA
Little Silver, New Jersey, USA - Educación
- Brown University
University of Washington
High Technology High School, Lincroft, New Jersey, USA - Ocupaciones
- author
poet - Biografía breve
- Brian Christian is the author of The Most Human Human, which was named a Wall Street Journal bestseller and a New Yorker favorite book of 2011, and has been translated into ten languages.
His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, The Paris Review, and in scientific journals such as Cognitive Science. Christian has been featured on The Charlie Rose Show and The Daily Show with Jon Stewart and has lectured at Google, Microsoft, the Santa Fe Institute, and the London School of Economics. His work has won several awards, including fellowships at Yaddo and the MacDowell Colony, publication in Best American Science & Nature Writing, and an award from the Academy of American Poets.
Born in Wilmington, Delaware, Christian holds degrees in philosophy, computer science, and poetry from Brown University and the University of Washington. He lives in San Francisco.
http://www.brian-christian.com/bio-co...
Miembros
Reseñas
An interesting idea for a book that almost works, to identify knowledge from the domain of computer science that can translate to everyday life.
There are at least a few ideas that are not so well known and provide interesting insight. But there are as many that are relatively well known and not as practical to apply.
There are at least a few ideas that are not so well known and provide interesting insight. But there are as many that are relatively well known and not as practical to apply.
If I had read this book when I initially added it to my TBR in 2011-ish I would have found it interesting, but AI and GenAI have evolved too much.
Stopped before 100 pages.
Stopped before 100 pages.
Listas
Premios
También Puede Gustarte
Autores relacionados
Estadísticas
- Obras
- 8
- Miembros
- 2,190
- Popularidad
- #11,713
- Valoración
- 4.0
- Reseñas
- 63
- ISBNs
- 46
- Idiomas
- 7
- Favorito
- 1
If you are not well-versed in programming topics it might be a bit hard to understand some points that the author makes but I think it would still be a nice read.