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

MLA 019 DevOps

Jan 13th, 2022 1h 14m

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) De

MLA 018 Descript

Nov 7th, 2021 6m 22s

(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 pe

MLA 017 AWS Local Development

Nov 6th, 2021 1h 4m

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 (L

MLA 016 SageMaker 2

Nov 5th, 2021 59m 43s

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.) SageMaker Jumpstart Deploy Pi

MLA 015 SageMaker 1

Nov 4th, 2021 46m 46s

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.) SageMaker DataWrangl

MLA 014 Machine Learning Server

Jan 18th, 2021 51m 50s

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

MLA 013 Customer Facing Tech Stack

Jan 3rd, 2021 46m 54s

Client, server, database, etc.

MLA 012 Docker

Nov 9th, 2020 30m 58s

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

MLG 032 Cartesian Similarity Metrics

Nov 8th, 2020 41m 37s

Show notes at ocdevel.com/mlg/32. L1/L2 norm, Manhattan, Euclidean, cosine distances, dot product Normed distances link A norm is a function that assigns a strictly positive length to each vector in a vector space. link Minkowski is general

MLA 011 Practical Clustering

Nov 8th, 2020 34m 8s

Kmeans (sklearn vs FAISS), finding n_clusters via inertia/silhouette, Agglomorative, DBSCAN/HDBSCAN

MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK

Oct 28th, 2020 25m 33s

NLTK: swiss army knife. Gensim: LDA topic modeling, n-grams. spaCy: linguistics. transformers: high-level business NLP tasks.

031 The Podcasts Return

Oct 28th, 2020 7m 57s

The podcasts return with new content, especially about NLP: BERT, transformers, spaCy, Gensim, NLTK. Accompanied by a community project - Gnothi, a journal that uses AI to provide insights and resources. Website https://gnothiai.com, project ht