Un’esperienza interessante!
Il nostro viaggio continua e questa volta siamo stati ospitati dai ragazzi del #GDGTreviso

Grazie a tutti per aver reso possibile questa serata!

In particolare a Gaspare che ha condiviso la sua esperienza su #Google #VertexAI e #Amazon #SageMaker ma anche ad Helder che ha fatto gli onori di casa e coordinato tutto con naturalezza, rivelandosi la vera colla della serata!

Noi ci aggiorniamo a gennaio 2026, buone feste!

#PyVenice #2 @pythonitalia #Python #GoogleCloud

Amazon SageMaker ノートブックインスタンスがAmazon Linux 2023になったのでクラウドIDEとして使うヨ
https://qiita.com/moritalous/items/4e69824baf5b4eb100a5?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AWS #AmazonLinux #Jupyter #SageMaker #bedrock

Amazon SageMaker ノートブックインスタンスがAmazon Linux 2023になったのでクラウドIDEとして使うヨ - Qiita

密かに待ってたアップデートが来ました! 昨日まではAmazon Linux 2しか選べなかったのですが、 Amazon Linux 2023を選べるようになりました! 二年越しで待ってたよ! 「Amazon Bedrock 生成AIアプリ開発入門」の環境として...

Qiita
DVCをSageMakerのトレーニングジョブで利用する方法 - Qiita

背景 最近、 DVC を使ってデータセットをバージョン管理している環境で、Amazon SageMaker (以下SageMaker) を使ったトレーニングを行う機会がありました。 DVCをSageMakerで使うやり方がいまいちよくわかっていなかったので、調べた結果を備...

Qiita
gpt-ossがAWSに来てる! - Qiita

もう、来てます! SageMaker JumpStart(SageMaker AI JumpStart ?)のモデル一覧にOpenAIの文字が! 現時点でBedrock readyじゃないっぽいのでBedrockのマーケットプレースでは見つかりませんでした gpt...

Qiita
SageMaker Unified Studio で Titanic のデータを分析する - Qiita

はじめに この記事では、 SageMaker Unified Studio を用いて、Titanic のデータを分析する方法と、その後の ML モデルを作成する準備の解説をします。 SageMaker Unified Studio とは、組織内のすべてのデータを検索してア...

Qiita
✨ Impulsione sua jornada em AI com a AWS!
📝 A AWS está investindo pesado em infraestrutura para acelerar o desenvolvimento de inteligência artificial com o SageMaker. Descubra como essa iniciativa pode transformar seu projeto e potencializar resultados. Não perca as novidades que estão moldando o futuro da tecnologia! Clique e saiba mais!
.
.
.#InteligênciaArtificial #AWS #SageMaker
https://inkdesign.com.br/aws-investe-em-infraestrutura-para-acelerar-ai-com-sagemaker/?fsp_sid=86104
AWS investe em infraestrutura para acelerar AI com SageMaker

São Paulo — InkDesign News — A recente atualização do SageMaker, plataforma de treinamento e inferência de modelos de inteligência artificial da AWS, introduz novas funcionalidades que melhoram a obse

INK|DESIGN NEWS

AI/ML Engineers - Check out this job in Mexico City!

👉 Sr. ML Engineer (Prioritization Engine) - Hybrid with salary of CDMX $140,000 to 150,000 MEX pesos per month
https://www.careers-page.com/nearshore-cyber/job/QWWY6846

#Sagemaker #ClearML #DeepLearning #Python #PyTorch

Sr. ML Engineer (prioritization engine) - Hybrid CDMX - Nearshore Cyber | Career Page

Sr. ML Engineer (Prioritization Engine) Tech Stack: Python, PyTorch, ClearML, SageMaker, PostgreSQL, AWS About the Role Our client is looking for a Senior ML Engineer to develop their AI-powered prioritization engine, helping reps focus on high-impact accounts, deals, and leads. Responsibilities Build ML models that recommend the next-best sales actions.Train, test, and deploy models in AWS SageMaker & ClearML.Design and maintain feature stores for historical win/loss tracking.Optimize models for low-latency inference. What We're Looking For 6+ years in ML Engineering with deep learning experience.Strong Python, PyTorch, and ML pipeline development.Experience with ClearML for experiment tracking and SageMaker for model deployment.

Manatal

AI/ML Engineers - Check out this job in Mexico City!

👉 Sr. ML Engineer (Prioritization Engine) - Hybrid with salary of CDMX $140,000 to 150,000 MEX pesos per month
https://www.careers-page.com/nearshore-cyber/job/QWWY6846

#Sagemaker #ClearML #DeepLearning #Python #PyTorch

Sr. ML Engineer (prioritization engine) - Hybrid CDMX - Nearshore Cyber | Career Page

Sr. ML Engineer (Prioritization Engine) Tech Stack: Python, PyTorch, ClearML, SageMaker, PostgreSQL, AWS About the Role Our client is looking for a Senior ML Engineer to develop their AI-powered prioritization engine, helping reps focus on high-impact accounts, deals, and leads. Responsibilities Build ML models that recommend the next-best sales actions.Train, test, and deploy models in AWS SageMaker & ClearML.Design and maintain feature stores for historical win/loss tracking.Optimize models for low-latency inference. What We're Looking For 6+ years in ML Engineering with deep learning experience.Strong Python, PyTorch, and ML pipeline development.Experience with ClearML for experiment tracking and SageMaker for model deployment.

Manatal
SageMaker StudioのCode Editorを魔改造してWebアプリのプロキシ機能を追加する - Qiita

AWS上のWeb IDEをカスタマイズするのにハマっています。これまで色々記事にしてきました。https://qiita.com/moritalous/items/82fae0eb18205931…

Qiita