Shivam Sharma
TechScalable
ONTDEKKEN, VERBINDEN, GROEIEN
Microsoft Reactor
Word lid van Microsoft Reactor en neem live contact op met startups en ontwikkelaars
Klaar om aan de slag te gaan met AI? Microsoft Reactor biedt evenementen, training en community-resources om start-ups, ondernemers en ontwikkelaars te helpen hun volgende bedrijf op basis van AI-technologie uit te bouwen. Doe mee!
ONTDEKKEN, VERBINDEN, GROEIEN
Microsoft Reactor
Word lid van Microsoft Reactor en neem live contact op met startups en ontwikkelaars
Klaar om aan de slag te gaan met AI? Microsoft Reactor biedt evenementen, training en community-resources om start-ups, ondernemers en ontwikkelaars te helpen hun volgende bedrijf op basis van AI-technologie uit te bouwen. Doe mee!
Terug
Build and Operate Machine Learning Solutions with Azure Databricks
29 maart, 2022 | 12:30 p.m. - 1:30 p.m. (UTC) Coordinated Universal Time
- Formaat:
Livestream
Onderwerp: Cloudontwikkeling
Language: Engels
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/
Voorwaarden
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.
Sprekers