DATA DIVE DAYS

Process and product of various data science tasks— from data collection, data preparation, data visualization, to basic statistical analysis and modelling. Datasets for practice available.

Selected as Top 100 Data Science Resources for 2018

on MastersInDataScience.com

October 4, 2019

Did you know that presentations at the KDD conference are open-sourced? There are so many different use cases and algorithms shared at the conference across various industries. Some of the talks on applications are more high-level and suited to business users while the...

May 28, 2019

I had the pleasure of attending the 2nd Applying Artificial Intelligence and Deep Learning for Enterprises Conference by Clariden Global. There were many takeaways from the two-day conference and here's a summary:

On data culture

- There was a lot of emphasis on bui...

March 8, 2019

Data Science is essentially about doing things in a smarter way. So, with the help of data and tech, we develop algorithms/ rules that automate certain processes and in turn, save time. Depending on the services or products we use, we will get to experience the differe...

February 12, 2019

This is Part II of a series of announcements relating to the Insurance AI and Analytics USA Summit. Data Double Confirm is proud to be a media partner of the Insurance AI and Analytics USA Summit with Insurance Nexus.

It is generally accepted that for insuranc...

December 10, 2018

Sometimes we need a little inspiration from others on how data can be used to tackle social challenges. Personally I have benefited from these videos I have watched and hence I decided to compile a list of them that helped me think about where to start such as what met...

August 29, 2018

If you're looking to organising a data science curriculum/ hackathon for participants with no prior background in data science, this post might be of interest to you. I have recently concluded a pilot data science hackathon for high school students in Singapore, where...

July 3, 2018

It's always exciting when the data visualization or analysis you did is used to push forward a movement or a cause. Most would agree this is probably one of the greatest satisfaction we derive as data scientists (again, I'm using this title loosely). So, I got to...

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