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All Blog Posts Tagged '#analytics' (7)

Frame a problem as a machine learning problem or otherwise

This is not very simple to choose a machine learning method and letting it go wild on the data. Particularly, understanding the core business problem and objective of the outcome and frame accordingly is one of the vital factors in machine learning. A general approach is difficult to recommend without intimate knowledge of the data. However, it sounds like we need to formalize the aspects of your model. Following questions may help to decide on machine learning problem or…

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Added by Ariful Islam on May 19, 2019 at 9:00am — No Comments

A Telecom Data science project from data gathering to model selection

One of our business units wants to target the competitors’ customers with personalized product/offer. To do that, Business needs to understand who are the prepaid/postpaid customer of the competitor to push the relevant and personalized product/offer and they don’t have this data. Now, this is a binary classification problem and we want to apply machine learning machine method to predict the likeliness of competitor customer to be prepaid or postpaid.

Steps in Data Science…

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Added by Ariful Islam on May 19, 2019 at 9:00am — No Comments

Unsupervised learning and its role in the knowledge discovery process

Unlike supervised learning, unsupervised learning not working with labeled data, it is not showing the machine the correct answer. Instead, it is using different algorithms to let the machine create connections by studying and observing the data. Learn much of this through study and observation. Learning and improving by trial and error is the key to unsupervised learning.

 

However, the Knowledge Discovery process is the field of data mining is concerned with the development…

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Added by Ariful Islam on May 19, 2019 at 8:42am — No Comments

Private Equity and Data Science: Due Diligence Stage

An emerging trend in the private equity space is an enhanced focus on data science.

This focus has historically been more on the operations side (post-acquisition) where data scientists have been leveraged to help companies improve performance in many key areas including marketing, business intelligence, financial analysis, and human resources. The advantage of focusing data scientists on the operations side is rather obvious: after an acquisition has occurred, the data challenges and…

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Added by Howard Friedman on June 27, 2018 at 9:30am — 1 Comment

Attachment In The Digital Age.

I originally wrote this article on LinkedIn. While there is a host of articles that focus on mechanics and methods in Data Science and Data Analytics, I believe the foundations of information and its meaning are equally as important, if not more so. Philosophy has its place in the role of any science. This article touches on what I believe are important themes.…



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Added by Mykel G. Larson on December 22, 2017 at 11:30am — No Comments

Leveraging Fuzzy String Matching In Competitive Intelligence

Product comparison is one of the crucial aspects of competitive intelligence (CI). There are two modes of  product comparison:

  1. Comparison of own product price across multiple channels
  2. Comparison of own product price with suitable competitor product

But, the greatest challenge in this journey is how to get the correct…

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Added by saurabh ajmera on December 13, 2017 at 4:30am — 1 Comment

Statistics Means Never Having to Say You Are Certain!

When I was a kid there was a popular movie quote going around, "Love means never having to say you're sorry" which was the basis behind this T-shirt my wonderful mother got me.  It means very different things to different people, "Statistics means never having to say you’re certain”.  I like the shirt, but these differences are very…

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Added by Scott Burk on January 21, 2017 at 9:30am — No Comments

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