Bienvenidos al GDG La Paz Podcast, un espacio donde hablaremos de Tecnologías de Google (News, Releases, Debates ), Certificaciones (TF, Android, MWE) y muchas cosas más
GDG La Paz
Claim This Podcastby GDG La Paz
11 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇧🇴
Podcast Overview
Bienvenidos al GDG La Paz Podcast, un espacio donde hablaremos de Tecnologías de Google (News, Releases, Debates ), Certificaciones (TF, Android, MWE) y muchas cosas más
Language
🇪🇸
Publishing Since
9/15/2020
1 verified contact email on file for GDG La Paz
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
November 24, 2020
Angular
<p><strong>Angular </strong>es un framework opensource desarrollado por <a href="https://angular.io/">Google</a> para facilitar la creación y programación de aplicaciones web de una sola página, las webs SPA (Single Page Application).</p> <p>Es por eso que esta ocasión tenemos como nuestro invitado a Luis Aviles que nos estará hablando mucho mas sobre Angular.</p> <p>Síguenos en Facebook: <a href="https://n9.cl/t4ul1"><strong>https://n9.cl/t4ul1</strong></a></p>
November 17, 2020
Google Maps Platform
<p>Google Maps nos permite ver los datos en un contexto relevante para las personas que buscan una vivienda. En lugar de mostrarles una lista, les ofrecemos un mapa con colores y puntos calientes para que puedan descubrir el entorno</p> <p>Es por eso que esta ocasión tenemos como nuestro invitado a Joel Humberto Gomez Paredes que nos estará hablando mucho mas sobre Google Maps Platform.</p> <p>Las expresiones y opiniones en este capitulo pertenecen a Joel Humberto Gomez y no a IBM</p> <p>Síguenos en Facebook: <a href="https://n9.cl/t4ul1"><strong>https://n9.cl/t4ul1</strong></a></p>
November 10, 2020
TensorFlow
<p>TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. Cuenta con un ecosistema integral y flexible de herramientas, bibliotecas y recursos de la comunidad que les permite a los investigadores impulsar un aprendizaje automático innovador y, a los desarrolladores, compilar e implementar con facilidad aplicaciones con tecnología de AA.</p> <p>Es por eso que esta ocasión tenemos como nuestra invitada a Lesly Zerna que nos estará hablando mucho mas sobre TensorFlow.</p> <p>Síguenos en Facebook: <a href="https://n9.cl/t4ul1"><strong>https://n9.cl/t4ul1</strong></a></p> <p><br></p>
11 total episodes available
Deep-dive analytics for GDG La Paz
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is GDG La Paz?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.