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DATA DOUBLE CONFIRM

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 2018/2019

on MastersInDataScience.com

Write-up on 2nd Applying Artificial Intelligence and Deep Learning for Enterprises Conference

May 28, 2019

Write-up on 2nd Applying Artificial Intelligence and Deep Learning for Enterprises Conference

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 building the data culture within the organisation. - People, process, technology (or architecture) are the typical three main pillars organisations need to focus on to create a data-driven enterprise. One end-goal wou

Sample size and correlation

May 7, 2019

Sample size and correlation

A typical question faced is how much data is considered enough. The answer is it depends. First and foremost, we need to know what comprises the total population. If the population is small, and there are enough resources to obtain whatever information you want on the total population, then that is definitely enough - in fact that's the best case scenario. In the event that is not plausible (which is the case for most situations), we conduct a survey. And the next question wo