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All Blog Posts Tagged '#ML' (7)

Face Recognition is the future Revolution.

OVERVIEW & PURPOSE

Before we dive deep into the topic let's ask a few questions to yourself and start diving into it as deep as you want to…!!!

  1. What it is?
  2. Why it came into existence?
  3. Where it was used?
  4. What are the results we achieve using this?
  5. How we can implement this?

 

Coming to the…

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Added by Kranthikiran Diddi on June 25, 2019 at 8:45am — No Comments

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

5 Key Best Practices for Successfully Adopting and Implementing Machine Learning in an Organization

Machine Learning (ML) has been among the top strategies for almost every organization - whoever adopts the new methodology early and quickly establishes the corporate capability will gain competitive advantages in the market. 

However, because ML is still a relatively new field and data science is a skillset that is scarce for many companies, how to make the journey move at optimal speed without disaster or time wasted…

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Added by Stephanie Shen on March 24, 2019 at 2:30pm — No Comments

#DevOps for Machine Learning (#ML / #AI)

Until very recently, most organizations have seen two distinct, non-overlapping work streams when building an AI enabled application: a development path and a data science path.

Often, both groups are actually building similarly scripted functional solutions using something like python or C/F#. Further, once a data scientist finishes the evaluation and…

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Added by Laura Edell on February 2, 2019 at 12:35pm — No Comments

Stop Worrying About Your Job—Human Beings are the Biggest Factor in Successful Analytics

AI and machine learning have advanced rapidly over the past few years, and many have suggested that 2019 will be the year for businesses that have waited to finally embrace this new technology. Only 15% of enterprises are currently using AI, but 31% are slated to add it to their strategy over the next 12 months, according to a Digital Trends Report by Adobe. There…

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Added by Jay Bourland on November 1, 2018 at 4:58am — No Comments

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