Shivam Sharma
TechScalable
DESCOBRIR, CONECTAR, CRESCER
Microsoft Reactor
Ingresse no Microsoft Reactor e interaja com startups e desenvolvedores ao vivo
Pronto para começar a usar a IA? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar startups, empreendedores e desenvolvedores a criar seus próximos negócios em tecnologia de IA. Junte-se a nós!
DESCOBRIR, CONECTAR, CRESCER
Microsoft Reactor
Ingresse no Microsoft Reactor e interaja com startups e desenvolvedores ao vivo
Pronto para começar a usar a IA? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar startups, empreendedores e desenvolvedores a criar seus próximos negócios em tecnologia de IA. Junte-se a nós!
Voltar
Build and Operate Machine Learning Solutions with Azure Databricks
29 março, 2022 | 12:30 PM - 1:30 PM (UTC) Tempo Universal Coordenado UTC
- Formato:
Transmissão ao vivo
Tópico: Desenvolvimento para nuvem
Linguagem: Inglês
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this workshop, you'll learn how to use Azure Databricks to explore, prepare, and model data and integrate with Azure Machine Learning.
The session will focus on Azure services and related products like Azure Machine Learning Service,Azure Databricks,Spark ML & MLflow
You will automate the process of hyperparameter tuning to identify the best model more easily.
Further Learning : https://aka.ms/AzureDatabricks-LM-29/3
Speaker : Shivam Sharma
Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.
Social Handle
LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/
Pré-requisitos
This session assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.
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