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Machine Learning Lifecycle with MLFlow by Jayesh Patel, Rockstar Games

  • 11 Mar 2020
  • 11:00 AM - 12:00 PM

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 Welcoming you all for the

Machine Learning Lifecycle with MLFlow 



Jayesh Patel, Rockstar Games


March 11th , 2020

11:00 AM - 12:00 PM PDT


Webinar details:-


Machine Learning Lifecycle with MLFlow


The speaker hopes to address some of these during this webinar.


Machine Learning application development is an iterative process similar to software development. It involves complex data processing, feature engineering, model training, scoring, model serving, and monitoring. An ML application might work well in the first few months but it may deliver poor results afterward. It is critical to have a complete picture of ML applications. Let's go over some of the challenges enterprises face ML development and how MlFlow can help resolve them.

Speaker Bio

Over the past 14 years, Jayesh has successfully designed complex data processes, architected machine learning pipelines and developed big data analytics solutions. He is an expert in emerging technologies such as Data Engineering, Big Data Modeling, Machine Learning, Artificial Intelligence, and Big Data Analytics.

He currently works for Rockstar Games as Senior Data Engineer, focusing on developing data-driven decision-making processes on Big Data Platform and artificial intelligence solutions to keep players engaged in games. He contributed significantly to make Red Dead Redemption II successful and played a crucial role in the continued success of Grand Theft Auto V. He worked on the two most financially successful media titles of all time.

He is also an editorial board member of a renowned international journal in Big Data Analytics. He is a senior member of IEEE and actively contributing in various research works. His research works were accepted in various IEEE conferences and published in popular publications in Big Data.

Join us on Mar 11th @11:00 AM to learn more 


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