Module 0 - Start With The Business Problem, Again


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This introductory session for developing a proper machine learning/artificial intelligence use case is a replay from the AI Foundations series. 

You know you need data to use a machine learning algorithm but one of the most critical aspects of machine learning success and eventual implementation is having a thorough understanding of the problems you want the data to solve using AI.  In this module, we will review frameworks that will take you from data curation, to an AI solution, to value identification and quantification.

Learning Outcomes
  • Construct a framework canvas for ML problems
  • Use that framework for a specific use case
  • Identify inputs for ML model
  • Determine quantifiable outputs

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Session 0(Slides & Video): Start with the Business Problem, Again
Click on View to access the replay and the slides
Click on View to access the replay and the slides This introductory session for developing a proper machine learning/artificial intelligence use case is a replay from the AI Foundations series (Module 3) containing a copy of the video and slides from that session.
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  • CS

    Can I give Quiz again, I was not able to take the exam.

    Reply
  • PK

    There is general saying that 80% business problems solve with descriptive analytics. only 10-15 % business problem require predictive analytics , if this is true then why predictive analytics gaining popularity ?

    Reply
  • rd

    Where do we take the quizzes

    Reply
  • RS

    The session material is a substitute of the live ?

    Reply
  • DS

    What happened to the session today?

    Reply
  • VV

    There was a session planned on 27th August 7:30PM IST right? Is it still happening or is it postponed to Sept 8th?

    Reply
  • RS

    A question after the previous course (AI Foundation): how much Python is needed ? From basic to intermediate is sufficient ?

    Reply
  • NM

    Please send me an email one day to event

    Reply