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All Blog Posts Tagged '#data' (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

Data Mining - What, Why, When

One of the best ways to learn about any topic is start with very fundamental questions like What, Why etc? Good old Socratic method. In this series of articles on data mining, I plan to approach this topic in a similar fashion. 

What is Data Mining?

Simply put, Data mining is the process of sifting through large data sets to identify…

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Added by Ramesh Dontha on June 21, 2017 at 7:00am — 8 Comments

3 reasons why companies are not engaging with data as much as they ought to

A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.

According to Hewlett Packard

  • 87% Of enterprises cannot fully exploit their data
  • 85% Cannot Analyse data quickly enough…
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Added by Bruce Robbins on November 20, 2015 at 1:30am — 1 Comment

Why Protecting Data Privacy Matters, and When

(A Wake-Up Call to Data Geeks Who Doubt)

by Anne Russell

Anne is the Managing Partner and Founder of World Data Insights, a data consulting company helping customers transform data into information that matters. Anne has spent the last decade immersed in multiple aspects of…

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Added by Anne Russell on June 30, 2015 at 10:06am — No Comments

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