The Fifth Elephant Pune Meetup
A workshop and meetup in Pune about data science, analytics and machine learning.
A workshop followed by talks and an open discussion about data science, analytics, machine learning and related topics.
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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HS
Harshad Saykhedkar Introduction to recommendation systems with PythonRecommendation systems and algorithms have application in many domains, retail/e-commrce and content recommendation being the obvious ones. Research, software development and general interest in recommendation systems exploded in the last few years, especially after rise of e-commerce and Netflix’s competition on movie recommendations. more
Technical level: Intermediate
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YG
Yash Gandhi Finding topics in short textsWe are living in the times of social media, where most of the text we come across is short, with news topics having a shelf life of a banana. With more information becoming available for consumption, it is getting tougher for us to find any useful trends. Topic Modeling is a powerful technology for data mining and search, using which we can classify short texts and find relevant trends. In this t… more
Technical level: Intermediate
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SD
Swapnil Dubey Time Processing and Watermarks using Google Pub\Sub and Google DataFlow.In this talk, we will be discussing about the watermark ingestion pattern of doing realtime analytics using Google Cloud Platform. Talk will primary cover the use case of intermittant data ingestion in a system(for example: a system ingesting data going offline frequently) and how to perform Real Time Analytics using GCP as platform. more
Technical level: Advanced
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Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more