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Introduction to Data Science

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Ofer Ron, senior data scientist at LivePerson. …

Ofer Ron, senior data scientist at LivePerson.
Recently, I've had the pleasure of presenting an introduction to Data Science and data driven products at DevconTLV

I focused this talk around the basic ideas of data science, not the technology used, since I thought that far too many times companies and developers rush to play around with "big data" related technologies, instead of figuring out what questions they want to answer, and whether these answers form a successful product.

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  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Global research of 600 consumers’ expectation of help – when purchasing online, 1/3 expect to be helped immediately, whilewhen purchasing online, ¾ expect to be able to access help within 5 minutesif a response is not delivered in the expected timeframe 50% will shop elsewhere online, or abandon altogether
  • Transcript

    • 1. Data Science 101 Ofer Ron | DevCon – October 2013
    • 2. Just what is data science anyway? Data science has many different manifestations: • BI –find new markets and niches to target. • Information • Predictive retrieval – search engines. modeling –personalization of the user experience.
    • 3. Building data driven products Increase each user’s exposure to the social network by easing him in.
    • 4. Building data driven products Increase revenues through recommendations.
    • 5. Building data driven products
    • 6. Building data driven products Targeting visitors needing assistance.
    • 7. Toys, beautiful toys What is the right question to ask? Data science is not about technology. It is about using data to solve business needs.
    • 8. That BIG DATA thing What is Big Data? “Big data” is when the size of the data itself becomes part of the problem. Small social graph Large distributed social graphs
    • 9. Hypothesize – test - iterate The basics of data science • Examine the data • Perform basic analysis • Formulate a hypothesis • Validate the hypothesis • Productize
    • 10. Hypothesize – test - iterate - cnt’d The principles of data science • Iterate quickly – know your tools • Don’t be afraid of statistics • Don’t fall in love with your ideas
    • 11. Practical Examples When should I tweet? The problem: Give the tweeter user an indication when he is most likely to get a retweet. The input: The users tweet stream, with all features.
    • 12. Practical Example – the workflow • Choose features • Split data into training and evaluation • Model the training data • Validate the hypothesis • What now?
    • 13. Practical Example – features – the simple choice October th, 8 2013 16:43 hour of day = 16 day of week = Tuesday
    • 14. Practical Example – the modeling (on training) A decision tree using the features 28.2% (259) Hour 37.2% (145) Day 16.7% (114) 34.1% (132) 30.8% (104) 69.2% (13) Hour Day 33.3% (18) 46.4% (28) 70.0% (10)
    • 15. Practical Example – evaluation On Training AUC=.667 On Evaluation AUC=.576
    • 16. Practical Example – what now? • More features – #,NLP on tweets? • More data • Validate across users, cluster users? Etc. etc.
    • 17. LivePerson’s Ecosystem developer.liveperson.com apps.liveperson.com
    • 18. LivePerson’s Ecosystem YouTube.com/LivePersonDev Twitter.com/LivePersonDev Facebook.com/LivePersonDev
    • 19. Thank You And we’re hiring!