#Deeplearning is one of the most important skills data scientists can have these days. That said there are numerous other skills that get passed over in the search for good data scientists. I’ll attempt to discuss some of them in this series of tweets. — Rajesh S (rexplorations) (@rexplorations) July 18, 2018 This post stems […]Read more "Achieving Explainability and Simplicity in Data Science Work"
Data scientists come in many shapes and sizes, and constitute a diverse lot of people. More importantly, they can perform diverse functions in organizations and still stand to qualify under the same criteria we use to define data scientists. In this cross-post from a Quora answer, I wish to elucidate on the different kinds of […]Read more "Different Kinds of Data Scientists"
This is a really interesting question for me, because I really enjoy discussing data science and data analysis. Some reasons I love data science: Discovering and uncovering patterns in the data through data visualization Finding and exploring unusual relationships between factors in a system using statistical measures Asking questions about systems in a data context […]Read more "Why Do I Love Data Science?"
This year, 2017, has been quite a busy year for artificial intelligence and data science professionals. In some ways, this is the year when AI truly began to be debated and discussed, from frameworks and technologies to ethics and morality. This is the year when opportunities for AI-driven improvement in businesses began to be examined […]Read more "Key Data and AI trends in 2017"
Recently, I had the opportunity to finish Stanford SCPD’s XINE 217 “Empathize and Prototype” course, as part of the Stanford Innovation and Entrepreneurship Certificate, which emphasizes the use of design thinking ideas to develop product and solution ideas. It is during this course, that I wrote down a few ideas around the use of data […]Read more "Some Ideas on Combining Design Thinking and Data Science"
As of mid-2017, I’ve spent almost two years in the big data analytics and data science world, coming from 13 years of diverse work experience in engineering and management prior. Starting from a professional curiosity, it has taken me a while to develop some data science and engineering skills and hone key skills among these […]Read more "Pervasive Trends in Big Data and Data Science"
Over the past year and a few months, I’ve had a chance to lead a few different data science teams working on different kinds of hypotheses. The engineering process view that the so-called agile methodologies bring to data science teams is something that has been written about. However, one’s own experiences tend to be different, […]Read more "Lessons from Agile in Data Science"