Dhruv Aggarwal — Published On June 27, 2022
Analytics Vidhya Announcement MLops Videos

Introduction

Anish Mahapatra has is conducting an interactive DataHour session with us. Anish has been a Lead Data Science consultant for various Fortune 500 customers for a long time and has helped over 2000 employees into the Data Science profession. He will be explaining MLOps referred as Machine learning operations, the present and future state of machine learning as well as its tools and technology. So, Register now! We’ve got your back and promise not to trigger FOMO.

The DataHour

BOOK YOUR SEAT NOW! 🛋️

About DataHour

MLOps is an abbreviation for Machine Learning Operations and a basic component of Machine Learning engineering that focuses on optimising the process of deploying machine learning models and subsequently maintaining and monitoring them. MLOps is a collaborative function that frequently includes data scientists, devops engineers, and IT.

MLOps allows for the automated testing of machine learning artefacts (e.g. data validation, ML model testing, and ML model integration testing).

In this DataHour, Join Anish Mahapatra explaining about MLOps, present and future state of ML and discussing about the future of MLOps.

The following subjects will be discussed:

  • The current and future state of machine learning
  • Machine Learning System Technical Debt
  • A novel real-world machine learning system
  • Knowledge of MLOps
  • MLOps-Required Tools and Technologies
  • MLOps Future

About the Speaker

Anish has been a Lead Data Science consultant for various Fortune 500 customers for a long time and has helped over 2000 employees into the Data Science profession.

He is an MSc in Data Science and a technical writer for the top Data Science magazines. He is always ready to help.

Prerequisites

Passion for learning about data science and its future.

Who is this DataHour for?

  • Students and recent graduates interested in pursuing a career in data science
  • Machine learning , data science enthusiasts wanting to enhance their knowledge
  • Data science professionals seeking to advance their careers

Any Questions?

Drop us a email at [email protected], or you can chat with the speaker directly during the session.

Conclusion

To take advantage of this fantastic opportunity. Register for the DataHour here.

If you missed any of the past episodes of “The DataHour,” you may watch the recordings on our YouTube channel. You can read a summary of previous DataHour sessions on our blog by clicking here.

Connect

If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected]

BOOK YOUR SEAT NOW! 🛋️

About the Author

Dhruv Aggarwal

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