DataHour: Introduction to MLOps

DataHour: Introduction to MLOps

30 Jun 202213:06pm - 30 Jun 202214:06pm

DataHour: Introduction to MLOps

About the Event

Want to know the future of Data Science? Wondering why 80% of Data Science models don't make it to production (according to Gartner)? 

This DataHour will help introduce you to the hottest topic in the industry. Whether you are a Data Science enthusiast or a working professional, it is essential to know the future of Data Science. Register already, it's time to spend 60 minutes on upskilling yourself and prepare for the future again!

Learn more on MLOps, where you will have more understanding of the following topics:

- The current and future state of ML

- Technical Debt in Machine Learning Systems

- The new real-world machine learning

- Understanding of MLOps

- Tools & Technologies required for MLOps

- Future of MLOps

Prerequisites: Enthusiasm for learning Data Science and its future.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Anish Mahapatra

Anish Mahapatra

Lead Data Scientist at Mu Sigma

MSc in Data Science and a technical writer for the top Data Science publications, he is always happy to help, feel free to email him at [email protected] anytime. You can follow him on Linkedin and Instagram. Know more about him through his website.

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Registration Details

6880

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Become a Speaker

Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event

  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution