LEARN, CONNECT, BUILD

Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

LEARN, CONNECT, BUILD

Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

돌아가기

Train deep learning models with Azure Machine Learning Service & Databricks

11 12월, 2021 | 4:30 오전 - 7:30 오전 (UTC) 협정 세계시

서식:
Livestream

항목: 데이터 과학 및 Machine Learning

언어: 영어

In this workshop, you will gain a better understanding of how to combine Azure Databricks with Azure Machine Learning to build, train and deploy machine learning and deep learning models. You will learn how to train a forecasting model against time-series data, without any code, by using automated machine learning, and how to interpret trained machine learning models. You will also learn how to use MLflow for managing experiments run directly on the Azure Databricks cluster and how MLflow can seamlessly log metric and training artifacts in your Azure Machine Learning workspace. You will create a recurrent neural network (RNN) model using PyTorch in Azure Databricks that can be used to forecast against time-series data and train a Natural Language Processing (NLP) text classification model based on Long Short-Term Memory (LSTM) recurrent neural network and Keras.

At the end of this workshop, you will be able to design a solution better understanding the capabilities of leveraging the Azure Machine Learning service and Azure Databricks.

Azure services and related products:
• Azure Databricks
• Azure Machine Learning
• Azure Machine Learning Automated
• Machine Learning
• Azure Storage
• IoT Hub
• PyTorch
• Power BI

Speaker's Bio: Shivam Sharma, Co-founder TechScalable

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 & Blockchain. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

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