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Enterprise Data Science & Its Project Lifecycle and Management

In this webinar, we'll be looking into various stages associated with an enterprise Data Science Project and understand the hairline differences between the various job roles that ensure a friction less build


APR
2020

10:30 AM IST

Description

One would get an insight into the industry-wide best practices with real-world use cases and some awesome insights. This webinar would help you better choose your field of interest in data science if you are a beginner or in setting up a real efficient Data science team to take on bigger challenges boldly & effectively.

Who should attend :

Data Science - Beginners, intermediate and advanced
 
What does it cover:
  • A quick introduction to Data and the changes in the way Enterprises operate
  • Hairline differences between the 4 popular fields of data and their bounds
  • Case studies
  • IBM Cloud for Machine Learning
  • QnA
Krishna Balaga

Krishna Balaga

Krishna Balaga is a new age developer in AI & Deep Learning with a Fascination for GANs. In his day job as a developer advocate at IBM India, he builds bleeding edge solutions with clients in sectors of Telecom and Fintech and also helps them infuse AI into their offerings. In past, he's worked extensively on Computer Vision. He is a prominent speaker at many IoT and Machine Learning Conferences and has always been a true maker at heart.

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