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Showing posts from June, 2018

Completed Module 1 – ‘Evaluation Criteria: Net Present Value’ of Wharton’s “Decision Making & Scenarios” course on Coursera

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Finished module 1 of Wharton’s “Decision Making & Scenarios” course on Coursera.This module is titled, “Evaluation Criteria: Net Present Value” and discusses the various alternatives we have to judge which projects should we undertake, with the fundamental premise that any new project or venture undertaken should maximise the firm’s value.Various methods are discussed starting with the discussion of very important concept of “Time Value Of Money” which says that money has an added dimension of time and a dollar today is worth a dollar tomorrow.Taking this discussion onwards, we discuss why the Net Present Value“ analysis is the most appropriate analysis for choosing whether to accept or deny a project.The other criteria at our disposal are IRR, Payback and RoI methods and it is also discussed the short comings of these methods compared to NPV. IRR can also be used but it is not suitable in every scenario as demonstrated by the Professor and whenever we are in doubt we should refe…

Completed 3 modules of IBM's CB0103EN - How to build Chatbots and make money on EdX

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Finished three modules of IBM's CB0103EN - How to build chatbots and make money.

The first three modules talked about the chatbot and the essentials of chatbots building in the sense, what are the definite things int he process, what are theprecautions which should be employed and how does the IBM's "Watson Assistant" works and how it compares with all other competitors.

Then in next two modules it talks about the two very essential components of Chatbots, rather three.

a. Intents - This the goal of the user's input. Watson Assistant expects us to add examples of each intent that our chatbot needs to address, these examples arethen used by Watson to figure out the different ways in which people may express their intent. In short, theintent can be expressed as labels, to group together a common goal or purpose, for a user's input.

b. Entities - These are details in user's input which helps Watson to provide different responses to user's inputs. Different u…