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.
Demand is the key indicator for every business to consider before taking the first step or expanding in the chosen market segment. It drives economic… Read More »The Complete Guide on Customer Demand Forecasting in Retail
In a meeting with engineering leadership, I was told, “We’ll tack on the AI later.” While doing ethnographic testing with a β customer, I was… Read More »Magic Dust for Artificial Intelligence Product Managers
Quantum computers come in 2 varieties, quantum annealers and quantum gate models. So far, DWave is the only company selling quantum annealers. A third type… Read More »So which is better for portfolio optimization, a NISQ Quantum Computer, or Fujitsu's "quantum inspired digital annealer"?
Data Science is an increasingly competitive field and participants are constantly working hard to build more levels of skill and experience. This trend has given… Read More »Top Data Science Skills for 2020
This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data… Read More »Does Big Data Impact Business Mobile App Development?
Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, “normalized”, and counted. Readers can… Read More »Multi Gigabyte R data.table for Ohio Voter Registration/History
One of the main requirements for modern information systems is the high data processing rate. Among the solutions to solve this problem the popular one… Read More »Scylla vs Cassandra: Performance Comparison
Business Intelligence (BI) and Business Analytics (BA) are both used to interpret business information and create data-based action plans. The two terms are frequently used… Read More »Business Intelligence vs Business Analytics
Countless hours of online courses haven’t prepared me for challenges in my first full-time position as a data scientist. Yes, I learned Python well enough… Read More »Data Science insights after a rookie year in the industry
Data scientists are disappearing. No, not in the physical sense (no rapture here), but in the job market. The term “data science” has been a… Read More »Data Science Job Titles to Look Out for in 2020
