Artwork

Conteúdo fornecido por Tedy Nenu. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tedy Nenu ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Player FM - Aplicativo de podcast
Fique off-line com o app Player FM !

Thomas Cormen on The CLRS Textbook, P=NP and Computer Algorithms | Episode 7

43:28
 
Compartilhar
 

Manage episode 394805554 series 3549261
Conteúdo fornecido por Tedy Nenu. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tedy Nenu ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Thomas Cormen is a world-renowned Computer Scientist, famous for co-writing the indispensable 'Introduction to Algorithms' textbook. He is currently a professor at Dartmouth College and former Chairman of the Dartmouth College Department of Computer Science. In 2013 he wrote a wonderful algorithmic book aimed at nonexperts which is entitled 'Algorithms Unlocked'. Professor Cormen also is well-known online for being Top Writer on Quora on numerous years, most recently in 2018. He is a great communicator of Computer Science and I hope you will enjoy the following conversation!
00:00 Intro

00:16 The story of CLRS plus remarks on the 4th edition

11:39 Relationships between Competitive Programming, Software Engineering and academic Computer Science

13:16 What makes an algorithm beautiful?

16:33 Thoughts on P=NP

19:32 Algorithmic efficiency and Artificial General Intelligence

24:12 Will progress in fields such as Deep Learning make the study of classical algorithms obsolete?

27:37 Algorithms Unlocked

33:07 What should the average lay person know about algorithms?

37:46 Advice for students, both graduates and undergraduates
Enjoy!
Twitter

Apple Podcasts

Spotify

Google Podcasts

YouTube

Instagram

  continue reading

15 episódios

Artwork
iconCompartilhar
 
Manage episode 394805554 series 3549261
Conteúdo fornecido por Tedy Nenu. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tedy Nenu ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Thomas Cormen is a world-renowned Computer Scientist, famous for co-writing the indispensable 'Introduction to Algorithms' textbook. He is currently a professor at Dartmouth College and former Chairman of the Dartmouth College Department of Computer Science. In 2013 he wrote a wonderful algorithmic book aimed at nonexperts which is entitled 'Algorithms Unlocked'. Professor Cormen also is well-known online for being Top Writer on Quora on numerous years, most recently in 2018. He is a great communicator of Computer Science and I hope you will enjoy the following conversation!
00:00 Intro

00:16 The story of CLRS plus remarks on the 4th edition

11:39 Relationships between Competitive Programming, Software Engineering and academic Computer Science

13:16 What makes an algorithm beautiful?

16:33 Thoughts on P=NP

19:32 Algorithmic efficiency and Artificial General Intelligence

24:12 Will progress in fields such as Deep Learning make the study of classical algorithms obsolete?

27:37 Algorithms Unlocked

33:07 What should the average lay person know about algorithms?

37:46 Advice for students, both graduates and undergraduates
Enjoy!
Twitter

Apple Podcasts

Spotify

Google Podcasts

YouTube

Instagram

  continue reading

15 episódios

Tous les épisodes

×
 
Loading …

Bem vindo ao Player FM!

O Player FM procura na web por podcasts de alta qualidade para você curtir agora mesmo. É o melhor app de podcast e funciona no Android, iPhone e web. Inscreva-se para sincronizar as assinaturas entre os dispositivos.

 

Guia rápido de referências