InMarvelous MLOpsbyVechtomova MariaMLOps learning resourcesGetting started with MLOps is not easy. In one of the previous posts, we shared the MLOps roadmap for 2024. In this post, we share…Jan 21, 20242Jan 21, 20242
InJoguei os DadosbyLetícia GerolaLargando os cadernos: de notebooks à scripts .pyComo a Engenharia de Software me auxiliou a dar o próximo passo no desenvolvimento de modelos MLDec 6, 20221Dec 6, 20221
InA3databyGabriel SaraivaVertex AI: Como fazer deploy de Modelos de Machine Learning no GCP?Aprenda a utilizar o Vertex AI para fazer deploy dos seus modelos de Machine Learning!Mar 30, 2023Mar 30, 2023
InTDS ArchivebyKhuyen TranAutomate Machine Learning Deployment with GitHub ActionsFaster Time to Market and Increase EfficiencyApr 16, 20233Apr 16, 20233
Kaan Boke Ph.D.Step-by-Step MLflow ImplementationsYou’ll track and register your ML Model in minutes.Aug 30, 20222Aug 30, 20222
Moez AliBuild a simple machine learning web application using Streamlit and deploy on Heroku in 5 easy…how to build a simple web application to serve ML Pipeline in Python and deploy it on Heroku cloud service in few easy steps.Sep 23, 20222Sep 23, 20222
Moez AliData Scientist’s starter toolkit for end-to-end Machine Learning Life cycle in 2022A step-by-step guide to implement machine learning using PyCaret, DagsHub, MLflow, DVC.Nov 4, 20223Nov 4, 20223
Elliot WangThe Best MLOps CoursesTake these courses to master MLOps. Don’t waste your time on companies sponsoring courses of their own which just end up promoting an…Mar 24, 20227Mar 24, 20227
Sunil KumarML Models Monitoring — Fundamentals & Practice1. Monitoring ML Models in ProductionJul 29, 20222Jul 29, 20222
Arnaldo GualbertoOs 3 Níveis de Maturidade de MLOpsQuais são os 3 níveis de MLOps e que deve ser feito em cada nívelAug 19, 20221Aug 19, 20221
Initau-databyLennon JcruzÍndice de Estabilidade Populacional e Monitoramento de Modelosautores: Luciana Trento Raineri e KelverSep 1, 2022Sep 1, 2022
InData HackersbyMatheus VasconcellosSPARK 101: o framework de BIG DATAOverview da arquitetura e conceitos importantesAug 7, 2022Aug 7, 2022
Tiago DiasAPI com Python, o Céu é o Limite!Fala galera do mundo dos dados! Quem nunca precisou extrair dados de uma API que atire a primeira pedra. Escrevi uma trilogia no Dados ao…Mar 11, 2022Mar 11, 2022
InData HackersbyRicardo JuniorAutomatizando a criação de modelos de ML com SageMaker PipelinesAprenda a criar fluxos de trabalho de Machine Learning com uma das ferramentas mais promissoras da nuvem pra DS: o Amazon SageMaker…Jan 11, 20221Jan 11, 20221
InData HackersbyRicardo JuniorGerenciando o ciclo de vida do seu modelo de machine learning com MLflowMuitas vezes o desenvolvimento de modelos de aprendizado de máquina pode ser uma tarefa complexa, haja visto que envolve várias etapas…Jun 13, 20212Jun 13, 20212
Tiago DiasCriando Pipelines com o SklearnFala galera do mundo dos dados! Espero que estejam todos bem e atrás de conhecimento. Escrevi um artigo no Dados ao Cubo sobre criação de…May 10, 2022May 10, 2022
Moez AliEasily integrate MLOps in your Machine Learning WorkflowsA step-by-step guide on integrating MLOps in your Machine Learning experiments in PythonJun 20, 2022Jun 20, 2022
Moez AliMLOps Tools and Technologies for Data Scientists in 2022MLOps technology stack must learn for data scientists in 2022!Jul 12, 20221Jul 12, 20221
InTDS ArchivebyElena SamuylovaMachine Learning in Production: Why You Should Care About Data and Concept DriftNo model lasts forever. Even if the data quality is fine, the model itself can start degrading. What does this mean in practice?Dec 7, 20209Dec 7, 20209
InTDS ArchivebyMoez AliDeploy Machine Learning App built using Streamlit and PyCaret on Google Kubernetes EngineA step-by-step beginner’s guide to containerize and deploy a Streamlit app on Google Kubernetes EngineJun 24, 20205Jun 24, 20205
