Delivered by Ingenta, Wed, 13 Feb 2019 17:54:33 Copyright: Henry Stewart Publications © Henry Stewart Publications 2054-7544 (2017) Vol. 3, 2 139–145 Applied Marketing Analytics 139 Received (in revised form): 7th June, 2017 Jacques Bughin is a senior partner at McKinsey & Company where...
HiPPO's Image Source: Disney Wiki HiPPO, chef, captain, or whatever cool name your team uses to address you, you are sitting at the top and leading the ship. Where should you take it in the next 12 months? I may not be able to answer that question precisely for you but in this post I...
Last Thursday, August 24th, the DAA ATL Chapter had another successful quarterly event at Uncle Julio’s. Complete with good food (thanks to the sponsorship of Keystone Solutions ) and good company, about 35 members came together for a presentation by none other than Jim Sterne, co-founder...
Thank you again for reading the 6 part series of the blog posts on Machine Learning as well as the very productive discussions in the past couple of months. My intention was to instill a sense of confidence in the Digital Analytics community that non-technical users of data can also...
Here we go, this is the last question! Thank you for following, sending DMs, and all the great conversations over coffee :). I learned a great deal myself and hope that whoever reads these posts finds value in what I have shared. I also have to send my gratitude and appreciation to the great...
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Question number 5 is sort of boring ('nice job Zara discouraging me to read on' you may say! the answer to this question is where the rubber meets the road- who knows maybe I don't wan too much competition in the game?:)) Question 5: Can you find meaningful representations of the data? ...
It's been a pause since the last post so I am just going to jump in and introduce you to the fourth question: Does your problem have a pattern? Why this even matters you may ask. The machine learns from regularities, therefore rare or irregular patterns decrease the chances of a machine...
Welcome to another post where I discuss the third question (out of 6) to ask to qualify a business problem as a machine learning problem. Please refer to my earlier posts to review question 1 and question 2 . Alternatively you can bookmark my blog and follow all the entries here . ...
In this post I will review the second question that you should ask to qualify a business problem as a machine learning problem. Question 2: Can you clearly formulate the problem? The following paragraph is written for those in the PM* filed. If you are not familiar with the PMI* concepts...
If you are in a leadership position the least that you need to know about machine learning is how to qualify your business problems as a machine learning problem. Therefore, you will need to know what machine learning could solve before you can decide whether it’s a worthwhile investment in your...