Podcast gratuito
Machine Learning Guide
Podcast de Dept
Este es un podcast gratuito, que puedes escuchar en todos los reproductores de podcasts. Puedes acceder a todos los programas gratuitos en la App Podimo sin necesidad de suscripción.
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
Otros podcasts exclusivos
Tu oferta:
Acceso ilimitado a todos los podcasts exclusivos
Sin anuncios
Descubre miles de audiolibros
Después de la prueba $99.00 / mes. Sin compromiso
Todos los episodios
54 episodiosMLA 021 Databricks
Discussing Databricks with Ming Chang from Raybeam [https://www.raybeam.com/] (part of DEPT® [https://deptagency.com/])
22 jun 2022 - 25 min
MLA 020 Kubeflow
Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker)
Dirk-Jan Verdoorn [https://www.linkedin.com/in/dirk-jan-verdoorn/] - Data Scientist at Dept Agency
Kubeflow [https://www.kubeflow.org/]. (From the website:) The Machine Learning Toolkit for Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.
TensorFlow Extended (TFX) [https://www.tensorflow.org/tfx]. If using TensorFlow with Kubeflow, combine with TFX for maximum power. (From the website:) TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. When you're ready to move your models from research to production, use TFX to create and manage a production pipeline.
Alternatives:
* Airflow [https://airflow.apache.org/]
* MLflow [https://mlflow.org/]
29 ene 2022 - 1 h 7 min
MLA 019 DevOps
Chatting with co-workers about the role of DevOps in a machine learning engineer's life
Expert coworkers at Dept
* Matt Merrill [https://www.linkedin.com/in/theothermattm/] - Principal Software Developer
* Jirawat Uttayaya [https://www.linkedin.com/in/jirawat/] - DevOps Lead
* The Ship It Podcast [https://shipit.io/] (where Matt features often)
Devops tools
* Terraform [https://www.terraform.io/]
* Ansible [https://www.ansible.com/]
Pictures (funny and serious)
* Which AWS container service should I use? [https://www.reddit.com/r/aws/comments/nrulld/the_recent_all_the_ways_to_run_containers_on_aws/]
* A visual guide on troubleshooting Kubernetes deployments [https://learnk8s.io/troubleshooting-deployments]
* Public Cloud Services Comparison [https://comparecloud.in/]
* Killed by Google [https://killedbygoogle.com/]
* aCloudGuru AWS curriculum [https://acloudguru.com/blog/engineering/which-aws-certification-should-i-take]
13 ene 2022 - 1 h 14 min
MLA 018 Descript
(Optional episode) just showcasing a cool application using machine learning
Dept uses Descript for some of their podcasting. I'm using it like a maniac, I think they're surprised at how into it I am. Check out the transcript & see how it performed.
* Descript [https://www.descript.com?lmref=4bjg1g]
* The Ship It Podcast [https://open.spotify.com/show/2P2BVhs19aqHVg7jUPuTjL] How to ship software, from the front lines. We talk with software developers about their craft, developer tools, developer productivity and what makes software development awesome. Hosted by your friends at Rocket Insights. AKA shipit.io
* Brandbeats Podcast by BASIC [https://open.spotify.com/show/6P6UxVuOtSmrWb28rd4Pc2?si=ea136c020a8f4819] An agency podcast with views on design, technology, art, and culture. Explore the new microsite at www.brandbeats.basicagency.com
07 nov 2021 - 6 min
MLA 017 AWS Local Development
Show notes: ocdevel.com/mlg/mla-17 [https://ocdevel.com/mlg/mla-17]
Developing on AWS first (SageMaker or other)
Consider developing against AWS as your local development environment, rather than only your cloud deployment environment. Solutions:
1. Stick to AWS Cloud IDEs (Lambda [https://aws.amazon.com/lambda/], SageMaker Studio [https://aws.amazon.com/sagemaker/studio/], Cloud9 [https://aws.amazon.com/cloud9/]
2. Connect to deployed infrastructure via Client VPN [https://docs.aws.amazon.com/vpn/latest/clientvpn-admin/what-is.html]
* Terraform example [https://timeular.com/blog/creating-an-aws-client-vpn-with-terraform/]
* YouTube tutorial [https://www.youtube.com/watch?v=uADf-JbN-ZE]
* Creating the keys [https://docs.aws.amazon.com/vpn/latest/clientvpn-admin/client-authentication.html#mutual]
3. LocalStack [https://localstack.cloud/]
Infrastructure as Code
* Terraform [https://www.terraform.io/]
* CDK [https://aws.amazon.com/cdk/]
* Serverless [https://www.serverless.com/]
06 nov 2021 - 1 h 4 min
Audiolibros populares
Muy buenos Podcasts , entretenido y con historias educativas y divertidas depende de lo que cada uno busque. Yo lo suelo usar en el trabajo ya que estoy muchas horas y necesito cancelar el ruido de al rededor , Auriculares y a disfrutar ..!!
Fantástica aplicación. Yo solo uso los podcast. Por un precio módico los tienes variados y cada vez más.
Me encanta la app, concentra los mejores podcast y bueno ya era ora de pagarles a todos estos creadores de contenido
Disponible en todas partes
¡Escucha Podimo en tu móvil, tablet, ordenador o coche!
Un universo de entretenimiento en audio
Miles de podcast y audiolibros exclusivos
Sin anuncios
No pierdas tiempo escuchando anuncios cuando escuches los contenidos de Podimo.