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Agile Mumbai 2022 - Vikesh Morye | Transfer Learning for Business Agility

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Agile Mumbai 2022 - Vikesh Morye | Transfer Learning for Business Agility

  1. 1. https://lena-voita.github.io/nlp_course/transfer_learning.html#main_content
  2. 2. Intro to NLP How Non-Natural Beings(Computers) process Natural Language!
  3. 3. Who’s Me? - Currently Sr. Data Scientist at Fountain9 (YC’21) - AI Research enthusiast in the NLP and Time Series Forecasting domain collaborating with academia. - Worked at - Hindustan Coca-Cola Beverage Pvt Ltd, - then as Solutions Consultant at various co.s including Browserstack (at the concurrence of technology and business) - PG Specialisation in Applied DS (Michigan Uni) B.E. Mechanical Engineering from M.U. (Distinction) Why Me ? - 1 PGS, 1 NanoDegree, few internships, some good projects, 50+ paper reviews and 100+ Linkedin courses (because, why not?)
  4. 4. What is NLP ? Natural Language Processing is when we program computers to process and analyze large amounts of natural language data. What’s natural language data? Data that we generate on a daily basis by talking, chatting, calling, emailing, commenting…… Limitless data! NLP is understanding and interpreting this data in a way that a literate human would.
  5. 5. Why NLP? Why use Natural Language Processing? - Understand this large amount of data - Use this large amount of data - Employ this data to Make models that understand - Our speech , language, intent, emotion - And many more endless reasons……
  6. 6. How NLP helps? - Understand this large amount of data - Its vibe >> good / bad / neutral >> Sentiment Analysis - Its meaning - In simpler words >> Summary - In different words >> Translation - Its relation to each other >> Topic Modelling
  7. 7. How NLP Helps? Eg. 1. Sentiment Scoring (of a paragraph from a blog on AI ) 2. Topic Modelling (of the same blog) ['0.019*"ai" + 0.011*"human" + 0.011*"machine" + 0.007*"intelligence" + 0.007*"learning"']
  8. 8. HOW NLP HELPS? - Use this large amount of data - To derive insights - Regarding opinions >> Discourse analysis - Regarding objects >> Entity Recognition - To find answers >> Question Answering https://course.spacy.io/en/chapter1 Img credits : thecleverprogrammer.com
  9. 9. HOW NLP HELPS? To build models that - Understand our commands >> Speech recognition - Assist us >> Speech to text - Talk to us >> Text to speech (or basically anything to speech)
  10. 10. How it works? Preliminary Steps : - Text Mining - Frequency, Length, Uniques, Screening for X/Y - Text Analytics - Patterns, Structures, Combinations, Network Graphs
  11. 11. How IT Works? Examples : WordCloud & Word Network Graphs Credits: online.une.edu,
  12. 12. How it works? Word Embeddings
  13. 13. bUT HOW DOES IT ACTUALLY HELP? Like , for real!!! Here’s 2 good cases that apply universally(regardless of domain).
  14. 14. Subject : ABC has partnered with us for ‘xyz’. Subject : Domain leaders are leveraging ‘xyz’, are you? Body : Word pairs, cloud, summarisation
  15. 15. Do you have a Knowledge Base ? Is it Indexed? Tree-mapped ? Flowy? Why Buy a Chatbot, when you can Build it! :p
  16. 16. What’s More ? Recurrent Neural Networks Sequence to Sequence Rise of Attention Layers Self-Attention Transformers - Multi Headed self attention BERT (MLM NSP) Stanford’s SQuAD

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