Achieving Analytics Sophistications
In today’s world, a successful organization has to achieve data and analytics competencies to stay competitive and relevant. By leveraging detailed relevant data at… Read More »Achieving Analytics Sophistications
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Data Science Best Practices
Contents 1. Introduction 2. The Four Pillars of Success in Analytics 3. Analytics Sophistication 4. Data Science Practice 4.1. DS-BuDAI® Methodology 4.2. Business Understanding/Use (Business focused) 4.3. Data… Read More »Data Science Best Practices
Image Recognition Revolution and Applications
Data, in particular, unstructured data has been growing at a very fast pace since mid-2000’s. Eighty percent of all data generated is unstructured multimedia content which… Read More »Image Recognition Revolution and Applications
Machine Learning vs. Traditional Statistics: Different philosophies, Different Approaches
“Machine Learning (ML)” and “Traditional Statistics(TS)” have different philosophies in their approaches. With “Data Science” in the forefront getting lots of attention and interest, I… Read More »Machine Learning vs. Traditional Statistics: Different philosophies, Different Approaches
10 Required Non-technical Skills for a Data Scientist
“Data Science(DS)” is nothing new but the term itself and the recent level of interest in it. As a practice it has commercially (not academically)… Read More »10 Required Non-technical Skills for a Data Scientist
What is DS-BuDAI?
What is DS-BuDAI? Data science[1] (covering data mining and related practices) is a multidisciplinary field that requires knowledge of a number of different skills, practices,… Read More »What is DS-BuDAI?