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Podcasts

Machine Learning GuideThe Ship It Podcast

Go beyond the fundamentals of machine learning and join creator & host Tyler Renelle as he covers intuition, models, math, languages, frameworks, and more. Machine Learning Guide is an audio course that boasts millions of downloads and has helped a ton of aspiring engineers learn the ropes when it comes to these rapidly evolving technologies.

Spotify

Resources

2022-06-22

MLA 021 Databricks

Discussing Databricks with Ming Chang from Raybeam (part of DEPT®)

2022-01-29

MLA 020 Kubeflow

Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker)


Dirk-Jan Verdoorn - Data Scientist at Dept Agency

Kubeflow. (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). 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:

2022-01-13

MLA 019 DevOps

Chatting with co-workers about the role of DevOps in a machine learning engineer's life


Expert coworkers at Dept

Devops tools

Pictures (funny and serious)

2021-11-07

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
  • The Ship It Podcast 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 An agency podcast with views on design, technology, art, and culture. Explore the new microsite at www.brandbeats.basicagency.com

2021-11-06

MLA 017 AWS Local Development

Show notes: 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 (LambdaSageMaker StudioCloud9
  2. Connect to deployed infrastructure via Client VPN

  3. LocalStack

Infrastructure as Code

2021-11-05

MLA 016 SageMaker 2

Part 2 of deploying your ML models to the cloud with SageMaker (MLOps)

MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.)

2021-11-04

MLA 015 SageMaker 1

Show notes Part 1 of deploying your ML models to the cloud with SageMaker (MLOps)

MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.)

And I forgot to mention JumpStart, I'll mention next time.

2021-01-18

MLA 014 Machine Learning Server

Server-side ML. Training & hosting for inference, with a goal towards serverless. AWS SageMaker, Batch, Lambda, EFS, Cortex.dev

2021-01-03

MLA 013 Customer Facing Tech Stack

Client, server, database, etc.

2020-11-09

MLA 012 Docker

Use Docker for env setup on localhost & cloud deployment, instead of pyenv / Anaconda. I recommend Windows for your desktop.


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