Google Machine Learning Engineering foundations!

Get access to 300 hours of content across 15 courses, ranging from beginner to advanced levels.

Topics cover:

- MLOps
- Feature Engineering
- Recommendation Systems
- Machine Learning Fundamentals
- Production Machine Learning…

まずは無料版ですが、Dataikuを会社に導入することが決まりました😁まずはコミュニティに参加しながら、MLOpsに対する理解を深めていこうと思います。 #DataHaiker の皆さま、よろしくお願いします🙇‍♀️

#Dataiku

👉 Awesome MLOps

Expert's Curated Blogs, Articles, Videos, Papers, Codes, Books, Talks, Newsletters and more on Machine Learning Operations.

🔗 github.com/visenger/aweso…

Microsoftが公開してるMLOpsに関するホワイトペーパーの要点をまとめた記事を書きました。
DSとエンジニアの関係に着目してるのが面白かったです。

MicrosoftのMLOpsホワイトペーパー「Breaking the Wall between AI and DevOps with MLOps」要点まとめ
nsakki55.hatenablog.com/entry/2024/05/…

1. Machine Learning Operations:

This course teaches MLOps tools and practices for deploying, evaluating, and monitoring ML systems on Google Cloud.

MLOps ensures efficient deployment, testing, and automation of ML systems in production.

Dify職人でマジで食っていける。

いやもう衝撃なのが、かつてMLOpsとか、去年のLLMOpsとか、

ゴリゴリの機械学習エンジニアでかつインフラも分かる、いやもうそんな人どこにいるの？みたいな超希少人材だったんですよ。

え、、もう誰でも使えるやん。

衝撃しかないです。

本日の  #LayerX機械学習勉強会  では、LayoutLLMについて紹介しました。
その他、FastAPI Tips、MicrosoftのMLOpsホワイトペーパー、Active Learningについての論文、LLMエージェントのデザインパターンについての記事などが紹介されました。
jobs.layerx.co.jp/bdc4697b9e044d…

Expanding Our Dev Team with Elite AI Talent 🧙

Big news! Today we're bringing in another ex-FAANG dev - an MLOps engineer with deep experience - to drive AI model training.

🔹 Training AI models is critical to our vision of enabling AI-powered DeFi for users and protocols.…

دنبال نقشه راه برای Machine Learning Engineer میگردید؟ گوگل 15 دوره آموزشی رایگان ارائه کرده درحدود 200 ساعت که کمک میکنه در این راه. انواع تاپیکها را شامل میشه از NLP وVision تا MLOps و دیپلوی و .. همگی روی گوگل cloud. واقعا عالیه! زمان را از دست ندید.
cloudskillsboost.google/paths/17

Just give it enough time

My journey:

> No code game dev
> C++
> JEE
> Unity - game dev C#
> C++
> Creative coding in Js/Java
> Android dev kotlin
> AR Lenses
> Python backend/cloud/devops/automation/scraping -> GenAI - diffusion models/llms
> Go/ Mlops/ Data pipelines/ Nextjs

Must see these 20+ #AI Tutorials: blog.abacus.ai/blog/category/… by Abacus.AI

…and check out Abacus.AI awesome products and services also!
———
#GPT4 #GPT5 #GenerativeAI #AI #NLproc #MachineLearning #ML #ML Ops #DeepLearning #DataScience #DataScientists #BigData #LLMs #LLMOps #VectorDB

#Statistics & #MachineLearning #infographics from @AbacusAI
➕
Learn about their incredibly COMPLETE Enterprise #ML Ops & #LLMOps Platforms and Solutions at abacus.ai
————
#DataScience #AI #ML #DeepLearning #DataScientists #LLMs #GenerativeAI #RAG #GenAI #VectorDB

did a LARP as an AI engineer and now i have to figure out how to run AI autonomous agents across 40+ countries with k8s in my enterprise job

the next year will be just cooking the most retarded MLOps architecture so i can run WASM based LLMs on the edge im so cooked

跌幅最大的前五大题材分别为：MLOps概念、油气设服、动力电池回收、可燃冰、稀缺资源

Machine learning operations (MLOps) market map 🗺️🤖

🎨 CB Insights

Olivier Laborde #Peace 🇫🇷🇪🇺🇺🇦 Glen Gilmore #AIforGood 💙 #TechForGood 💙 Greg Valancius Fabrizio Bustamante Diane Kaneza Franco Ronconi 🇮🇹 Dr. Marcell Vollmer 🇺🇦 #StaySafe #CES2024 #MWC24 Nicolas Babin James Gingerich #B2B #Technology #Influencer Yann Marchand Mack 4.0 #Tech4Good Dr. de l'immatériel Eveline Ruehlin BusinessIntelligence Jean CAYEUX IT 🇫🇷…

Enterprise #MachineLearning requires these:
1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API
9. #MLOps

Guess what?…
🌟@AbacusAI platform provides all this capability for you🌟

Ignacio Cobisa, Consulting Manager en IDC | Spain modera la primera sesión de la jornada en #Data 24IDCFoundry , compuesta por: Laura Polo, MLOps Manager en Banco Sabadell; Julio Gómez, CTO, en @delltechspain. Foundry (antes IDG Communications España) #Data #IA #GenAI

Phoenix Framework Tigris Data Replicate Fly.io I also used Livebook a ton when I was building the multimedia processing & ML pipelines

I'm super bullish on The Elixir programming language for building webapps and/or MLops

Check out the code if you're curious 👀 #myelixirstatus
github.com/algora-io/tv

[ #IWDAhm24 - Speaker Announcement #3 -Vaishnavi Sonawane]

Vaishnavi, Former GDSC lead, now an #MLOps engineer Intuitive.Cloud, shares expertise on 'Natural Language Processing - Why, What, When & How?'

#IWD24 #WTMIWD #WTMImpactTheFuture #ArtificialInteligence #DataScience #Cloud