TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources

MLG 024 Tech Stack

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.

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

MLA 021 Databricks

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:  Airflow MLflow   

MLA 020 Kubeflow

Chatting with co-workers about the role of DevOps in a machine learning engineer's life     Expert coworkers at Dept  Matt Merrill - Principal Software Developer Jirawat Uttayaya - DevOps Lead The Ship It Podcast (where Matt features often)  Devops tools  Terraform Ansible  Pictures (funny and serious)   Which AWS container service should I use? A visual guide on troubleshooting Kubernetes deployments Public Cloud Services Comparison Killed by Google  aCloudGuru AWS curriculum 

MLA 019 DevOps

(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   

MLA 018 Descript

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:  Stick to AWS Cloud IDEs (Lambda, SageMaker Studio, Cloud9  Connect to deployed infrastructure via Client VPN   Terraform example YouTube tutorial  Creating the keys   LocalStack  Infrastructure as Code  Terraform CDK Serverless   

MLG 024 Tech Stack

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