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Ariful Islam
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  • Bangkok
  • Thailand
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Ariful Islam's blog post was featured

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 otherwise:What am I…See More
May 25
Ariful Islam posted a blog post

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 of methods,…See More
May 23
Ariful Islam posted a blog post

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 project: To solve the…See More
May 20
Ariful Islam's blog post was featured

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 project: To solve the…See More
May 19

Profile Information

Short Bio
12 years of Experience in Customer Analytics and Data Science in Telecom and Banking Industry
My Web Site Or LinkedIn Profile
http://https://www.linkedin.com/in/ariful-islam-27ba6164/
Field of Expertise
Data Science, Machine Learning, AI, Business Analytics
Professional Status
Manager
Years of Experience:
10
Your Company:
Telenor Asia (IHQ)
Industry:
Telecom & Banking
Your Job Title:
Data Analyst
How did you find out about DataScienceCentral?
Linkedin
Interests:
Networking

Ariful Islam's Blog

Frame a problem as a machine learning problem or otherwise

Posted on May 19, 2019 at 9:00am 0 Comments

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…

Continue

A Telecom Data science project from data gathering to model selection

Posted on May 19, 2019 at 9:00am 0 Comments

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…

Continue

Unsupervised learning and its role in the knowledge discovery process

Posted on May 19, 2019 at 8:42am 0 Comments

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…

Continue

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