DevOps in Machine Learning i.e. MLOps

 
English Intermediate AI & Machine Learning

The MLOps is a machine Learning Operation intended to automate process of applying life cycle steps of data science, taking machine learning models to production, maintain and monitor them all the time, access their performance, and re-cycle them to re-trained on recent data to align a model for new trends. The ML Ops approach implements Continuous Implementation and Deployment (CI/CD) practices smoothly weaved with monitoring, governance and validations over ML Model life cycle.

Speaker

Chandrashekhar Deshpande

Microsoft Certified Azure Developer and Trainer

Mr.Chandrashekhar has 16+ years of experience in corporate training and 6+ years of experience in Architecting and Development of Real-life Projects. He is Microsoft Certified Trainer and conducts training on Azure. His expertise lies in training delivery across Big Data, Analytics, Machine Learning, and ML/AI services on Azure. His gamut of specialties is varied ranging from Apache Spark, Analytics and Machine Learning, Apache Kafka, Sqoop, Apache Flink, Apache Flume, Azure HDInsight, Hadoop, and its eco-system including Hive and HBase. Also, he has acquired requisite knowledge of Design Patterns (GoF and JEE), Java Performance Tuning, Java on Azure, Amazon Web Services, Liferay portal, Spring-Liferay integration, and JSE, JEE, Frameworks like Spring, Hibernate/JPA.

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.

Who does this Code of Conduct apply to?

All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.

Where can I get help?

If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at team@globalazure.net. All reports to the Global admin team will remain confidential.

Code of Conduct for local live streams

We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.

A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.