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Organising large volumes of text data using Machine Learning

Apr 21, 2019
11:00 AM - 01:30 PM
Coviam Technologies, 1074, 24th Main Road, 11th Cross, Near Bank Of Baroda, 1st Sector, HSR Layout,
Bengaluru,India

Event is cancelled by organizer. Please contact organizer for more details.

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Please Note: 

1. Early Bird Ticket price available until 11 pm on 19th April. After that price will be Rs 700

2. We have a special discount for students. Email a copy of your student id on ayushi@hellomeets.com to avail the same


About the Speaker: 

Praveen Rajan, Data Scientist at VMware

  • He is responsible for solving various business problems in area of Customer Support using state of the art techniques in Machine Learning
  • He has previously worked at Latentview Analytics for about  2.5 years where he was involved in deriving business insights through data for various Fortune 500 companies
  • He has also worked with Infosys and was responsible for building together the data environment


Discussion Includes:

Case studies on:

  • Document Classification to identify and tag Customer Support requests
  • Document Classification to identify topics in Articles

 + Demo on:

  • Organizing large volumes of text data into meaningful topics

Sub-topics:

  • Purpose of the Document Classification
  • Conventional Machine Learning Models used
  • Supervised Vs Semisupervised Learning
  • Semisupervised Classification technique
  • Interpreting the Model
  • Advances in NLP - Bert 

Key Takeaways:

  • Key techniques in Document Classification
  • Common Pitfalls while building a Topic model
  • How to improve the model performance
  • Understanding latest advancements in this area

Who should attend?

  • Students interested in Data Science
  • Data Science Enthusiasts
  • NLP Enthusiasts


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Organising large volumes of text data using Machine Learning

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