This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. ~Forbes Globally several individuals have chosen data science… Read More »Big data engineering – A complete blend of big data analytics and data science
Hindsight is always 20/20, but someone needs to be looking into the future before it gets here. That’s the role of a data scientist, and… Read More »Top 10 Most In-Demand Skills in the World of Data Science
It’s the last week of the year. The gifts have been opened (well, the ones that aren’t currently still sitting in a dock in Los… Read More »Trends Towards 2022
“There were five exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days.” ~Eric… Read More »Why a Data Science Career Is Worth Pursuing
Data science is a domain that combines data-bound analytical techniques and scientific theory to generate insights for business stakeholders. Its shape, elements, and size allow… Read More »Data science and analytics: the future implications
Back in 2014, Gartner placed the field of prescriptive analytics at the beginning of the ‘Peak of Inflated Expectations’ in their Hype Cycle of Emerging… Read More »Prescriptive Analytics – The Final Frontier
In part 1 here, we introduced an original class of point processes, generalizing the Poisson process which is a limiting case, in a simple and intuitive… Read More »Machine Learning Inference for Point Processes: A General, Simple Introduction with Simulations
A few decades back the job role called data scientists didn’t exist. There were employees who used to analyze, organize, and clean the data. But… Read More »Top Programming Languages for Data Science in 2022
Update: Part 2 of this article is now available, here. In this article, original stochastic processes are introduced. They may constitute one of the simplest… Read More »A Gentle, Original Approach to Stochastic Point Processes
The probability distributions introduced in this article generalize what is known as infinite convolutions of centered Bernoulli or Rademacher distributions. Some of them are singular… Read More »A New Class of Non-standard Probability Distributions
